Triple
T29804122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Happyish |
E756791
|
entity |
| Predicate | originallyCastLeadActor |
P201142
|
FINISHED |
| Object | Philip Seymour Hoffman |
—
|
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: Philip Seymour Hoffman | Statement: [Happyish, originallyCastLeadActor, Philip Seymour Hoffman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originallyCastLeadActor Context triple: [Happyish, originallyCastLeadActor, Philip Seymour Hoffman]
-
A.
originalCastPerformer
Indicates that a performer was part of the original cast in the first production or release of a work.
-
B.
originalCast
Indicates that the subject is a member of the initial group of performers or participants who first originated a role or production.
-
C.
originalLeadActorRole
Indicates the role originally played by a particular lead actor in a given production or work.
-
D.
portrayedInOriginalProductionBy
Indicates that an entity (such as a role or character) was first brought to life or performed in the original production by a specific performer.
-
E.
originallyCastFrom
Indicates that one entity was the source or original form from which another entity was cast, derived, or transformed.
- F. None of above. chosen
Provenance (4 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_69f2245584848190ad4cab1f07752ccb |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ffcc6182b48190afb598ced6500e66 |
completed | May 10, 2026, 12:08 a.m. |
| PD | Predicate disambiguation | batch_69ffcbb363748190bc6f8d038fba44ff |
completed | May 10, 2026, 12:05 a.m. |
| PDg | Predicate description generation | batch_69ffcc60dae48190b76b3eb7e2ce5103 |
completed | May 10, 2026, 12:08 a.m. |
Created at: April 29, 2026, 5:20 p.m.