Triple
T18646464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quadrophenia |
E455814
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Sea and Sand
Sea and Sand is a song by The Who from their rock opera album "Quadrophenia," noted for its reflective lyrics and dynamic shifts in mood and intensity.
|
E1336207
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sea and Sand | Statement: [Quadrophenia, hasPart, Sea and Sand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sea and Sand Context triple: [Quadrophenia, hasPart, Sea and Sand]
-
A.
Heaven by the Sea
"Heaven by the Sea" is a song from Andrew Lloyd Webber’s musical *Love Never Dies*, the sequel to *The Phantom of the Opera*.
-
B.
Sunny Sands
Sunny Sands is a popular sandy beach in Folkestone, Kent, known for its family-friendly atmosphere and traditional seaside charm.
-
C.
La spiaggia dei sogni
La spiaggia dei sogni is an Italian film featuring actor Franco Interlenghi, known for its romantic-dramatic storyline set against a seaside backdrop.
-
D.
By the Sea
By the Sea is a 2015 romantic drama film starring Angelina Jolie and Brad Pitt as a troubled couple on a seaside vacation in 1970s France.
-
E.
By the Sea
"By the Sea" is a novel by Nobel Prize–winning author Abdulrazak Gurnah that explores themes of exile, identity, and displacement through the intertwined stories of refugees from Zanzibar.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Sea and Sand Triple: [Quadrophenia, hasPart, Sea and Sand]
Generated description
Sea and Sand is a song by The Who from their rock opera album "Quadrophenia," noted for its reflective lyrics and dynamic shifts in mood and intensity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sea and Sand Target entity description: Sea and Sand is a song by The Who from their rock opera album "Quadrophenia," noted for its reflective lyrics and dynamic shifts in mood and intensity.
-
A.
Heaven by the Sea
"Heaven by the Sea" is a song from Andrew Lloyd Webber’s musical *Love Never Dies*, the sequel to *The Phantom of the Opera*.
-
B.
Sunny Sands
Sunny Sands is a popular sandy beach in Folkestone, Kent, known for its family-friendly atmosphere and traditional seaside charm.
-
C.
La spiaggia dei sogni
La spiaggia dei sogni is an Italian film featuring actor Franco Interlenghi, known for its romantic-dramatic storyline set against a seaside backdrop.
-
D.
By the Sea
By the Sea is a 2015 romantic drama film starring Angelina Jolie and Brad Pitt as a troubled couple on a seaside vacation in 1970s France.
-
E.
By the Sea
"By the Sea" is a novel by Nobel Prize–winning author Abdulrazak Gurnah that explores themes of exile, identity, and displacement through the intertwined stories of refugees from Zanzibar.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8d38ea1e88190997e9b231190ba6f |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5500e248481909a8d777a6a9f17e7 |
completed | April 19, 2026, 9:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05171a1f508190b1ea8178717dbd96 |
completed | May 14, 2026, 12:28 a.m. |
| NEDg | Description generation | batch_6a0518aa2dd88190a741dcedcf8fc37a |
completed | May 14, 2026, 12:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a05190b081481909af7b7aec70d9646 |
completed | May 14, 2026, 12:36 a.m. |
Created at: April 10, 2026, 11:47 a.m.