Triple
T9578383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Why Do Fools Fall in Love |
E231106
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Paul Hall |
E668118
|
NE FINISHED |
How this triple was built (2 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: Paul Hall | Statement: [Why Do Fools Fall in Love, producer, Paul Hall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paul Hall Context triple: [Why Do Fools Fall in Love, producer, Paul Hall]
-
A.
Paul Hall
chosen
Paul Hall is a film producer best known for his work on major studio projects, including the 2000 action-crime film "Shaft."
-
B.
Brian Hall
Brian Hall is a prominent evolutionary developmental biologist known for his influential work on the development and evolution of the vertebrate skeleton.
-
C.
Brian Hall
Brian Hall is an American soccer referee best known for officiating high-profile Major League Soccer matches and international competitions.
-
D.
Henry Halls
Henry Halls is one of the children of American actor Matt Bomer and his husband, publicist Simon Halls.
-
E.
William Hall
William Hall is a relatively common personal name shared by multiple notable individuals across fields such as politics, the military, sports, and the arts.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca848091c48190bc313d6620d09555 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd99aece1081908287e03106de020f |
completed | April 1, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1615d093c8190940037e9e0842db5 |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:05 p.m.