Triple
T32544416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hugh Jackman as P. T. Barnum |
E831800
|
entity |
| Predicate | hasOnScreenBusinessPartner |
P46690
|
FINISHED |
| Object | Phillip Carlyle |
—
|
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: Phillip Carlyle | Statement: [Hugh Jackman as P. T. Barnum, hasOnScreenBusinessPartner, Phillip Carlyle]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOnScreenBusinessPartner Context triple: [Hugh Jackman as P. T. Barnum, hasOnScreenBusinessPartner, Phillip Carlyle]
-
A.
laterBusinessPartner
Indicates that one entity became a business partner of another at a later point in time, after some prior relationship or period.
-
B.
hasOnscreenPartner
chosen
Indicates that one entity appears together with another as a partner within the same onscreen context or scene.
-
C.
businessPartner
Indicates a formal collaborative relationship between two entities that work together in a business context, typically sharing responsibilities, risks, or benefits.
-
D.
hasPartner
Indicates that one entity is in a partner relationship (such as romantic, life, or business partnership) with another entity.
-
E.
hasPartnerInWork
Indicates that one entity collaborates professionally or is partnered with another entity in a work-related context.
- 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_69f34925fd08819084cfe4ec566cb704 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f7675b12848190a3569cfda29c5b0e |
completed | May 3, 2026, 3:18 p.m. |
| PD | Predicate disambiguation | batch_69f762f4b59481909f70074f11825bfb |
completed | May 3, 2026, 3 p.m. |
Created at: May 1, 2026, 1:02 a.m.