Triple
T20136626
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Light in the Attic |
E491040
|
entity |
| Predicate | hasPoem |
P21160
|
FINISHED |
| Object |
"Fancy Dive"
"Fancy Dive" is a whimsical children's poem by Shel Silverstein featured in his poetry collection *A Light in the Attic*.
|
E1413828
|
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: "Fancy Dive" | Statement: [A Light in the Attic, hasPoem, "Fancy Dive"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Fancy Dive" Context triple: [A Light in the Attic, hasPoem, "Fancy Dive"]
-
A.
"Underwater"
"Underwater" is a song by Finnish singer-songwriter Mika known for its emotive vocals and lush, dramatic pop production.
-
B.
The Dive
The Dive is a science fiction film produced by James Cameron’s Lightstorm Entertainment, known for its deep-sea adventure and cutting-edge underwater visual effects.
-
C.
Deep Sea Diver
"Deep Sea Diver" is a song by the American indie rock band Deerhunter from their album "Halcyon Digest."
-
D.
Dive
"Dive" is a song by the American rock band Nirvana, featured on their 1992 compilation album *Incesticide*.
-
E.
Dive
"Dive" is a sensual R&B song by American singer-songwriter Victoria Monét, known for its intimate lyrics, lush production, and vocal performance.
- 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: "Fancy Dive" Triple: [A Light in the Attic, hasPoem, "Fancy Dive"]
Generated description
"Fancy Dive" is a whimsical children's poem by Shel Silverstein featured in his poetry collection *A Light in the Attic*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Fancy Dive" Target entity description: "Fancy Dive" is a whimsical children's poem by Shel Silverstein featured in his poetry collection *A Light in the Attic*.
-
A.
"Underwater"
"Underwater" is a song by Finnish singer-songwriter Mika known for its emotive vocals and lush, dramatic pop production.
-
B.
The Dive
The Dive is a science fiction film produced by James Cameron’s Lightstorm Entertainment, known for its deep-sea adventure and cutting-edge underwater visual effects.
-
C.
Deep Sea Diver
"Deep Sea Diver" is a song by the American indie rock band Deerhunter from their album "Halcyon Digest."
-
D.
Dive
"Dive" is a song by the American rock band Nirvana, featured on their 1992 compilation album *Incesticide*.
-
E.
Dive
"Dive" is a sensual R&B song by American singer-songwriter Victoria Monét, known for its intimate lyrics, lush production, and vocal performance.
- 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_69da62651a0c8190a3e05e95e056a66b |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e66767ba3881909c2bcb74a986bd29 |
completed | April 20, 2026, 5:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a082de255b08190b50a3cb5e4da4973 |
completed | May 16, 2026, 8:42 a.m. |
| NEDg | Description generation | batch_6a082ef2cf208190aea9cd29b15b35dd |
completed | May 16, 2026, 8:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0830ccfdd881909cbf1c3fd2342821 |
completed | May 16, 2026, 8:54 a.m. |
Created at: April 11, 2026, 11:32 p.m.