Triple
T28180052
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Actor for The Front Page |
E716001
|
entity |
| Predicate | sourcePlayAuthors |
P66138
|
FINISHED |
| Object | Ben Hecht |
—
|
NE NERFINISHED |
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: Ben Hecht | Statement: [Academy Award for Best Actor for The Front Page, sourcePlayAuthors, Ben Hecht]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourcePlayAuthors Context triple: [Academy Award for Best Actor for The Front Page, sourcePlayAuthors, Ben Hecht]
-
A.
playAdaptationAuthors
Indicates that certain authors are responsible for creating an adaptation of a particular play.
-
B.
playAuthor
chosen
Indicates that an entity is the author or creator of a play.
-
C.
collectionAuthor
Indicates that an entity is the creator or compiler responsible for assembling the items in a collection.
-
D.
targetAuthors
Indicates that certain authors are the intended or designated recipients, subjects, or focus of an action or operation.
-
E.
authorGenre
Indicates the relationship between an author and the literary genre(s) in which they write or are associated with.
- F. None of above.
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_69efd6b4fc5c81909dd88f01a8c2b35d |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6691f5e188190b12c7b2eb729a45e |
completed | May 2, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 27, 2026, 10:19 p.m.