Triple
T22018110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Album III |
E543764
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object |
Old Friend
"Old Friend" is a song featured on the album "Album III," likely reflecting the record's overall musical style and themes.
|
E1514695
|
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: Old Friend | Statement: [Album III, hasTrack, Old Friend]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Old Friend Context triple: [Album III, hasTrack, Old Friend]
-
A.
Old Friend
"Old Friend" is a punk rock song by Rancid from their influential 1995 album ...And Out Come the Wolves.
-
B.
Dear Old Friend
"Dear Old Friend" is a musical number from Andrew Lloyd Webber’s stage sequel to The Phantom of the Opera, *Love Never Dies*.
-
C.
Old Friends
Old Friends is a nonfiction book by Tracy Kidder that intimately chronicles the lives, friendship, and daily experiences of two elderly men in a nursing home.
-
D.
Old Friends
"Old Friends" is a song featured on the album "Everyday Life," known for its reflective tone and themes of memory and enduring relationships.
-
E.
Old Friends
"Old Friends" is a reflective, melancholic song by Simon & Garfunkel that poignantly explores aging and the passage of time.
- 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: Old Friend Triple: [Album III, hasTrack, Old Friend]
Generated description
"Old Friend" is a song featured on the album "Album III," likely reflecting the record's overall musical style and themes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Old Friend Target entity description: "Old Friend" is a song featured on the album "Album III," likely reflecting the record's overall musical style and themes.
-
A.
Old Friend
"Old Friend" is a punk rock song by Rancid from their influential 1995 album ...And Out Come the Wolves.
-
B.
Dear Old Friend
"Dear Old Friend" is a musical number from Andrew Lloyd Webber’s stage sequel to The Phantom of the Opera, *Love Never Dies*.
-
C.
Old Friends
Old Friends is a nonfiction book by Tracy Kidder that intimately chronicles the lives, friendship, and daily experiences of two elderly men in a nursing home.
-
D.
Old Friends
"Old Friends" is a song featured on the album "Everyday Life," known for its reflective tone and themes of memory and enduring relationships.
-
E.
Old Friends
"Old Friends" is a reflective, melancholic song by Simon & Garfunkel that poignantly explores aging and the passage of time.
- 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_69e11e2e8ea4819084210fe06d3a1b8d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127c4e0088190a5241d1b87d746da |
completed | April 28, 2026, 9:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a7381c4b8819086514b9422cd6a0c |
completed | May 18, 2026, 2:03 a.m. |
| NEDg | Description generation | batch_6a0a74e81da881908c73d864258dcdd5 |
completed | May 18, 2026, 2:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a75cbb2408190b058713432b048a2 |
completed | May 18, 2026, 2:13 a.m. |
Created at: April 16, 2026, 8:23 p.m.