Triple
T37595607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tex Watson (Once Upon a Time in Hollywood character) |
E935374
|
entity |
| Predicate | hasGivenNameInCredits |
P170188
|
FINISHED |
| Object | Tex |
—
|
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: Tex | Statement: [Tex Watson (Once Upon a Time in Hollywood character), hasGivenNameInCredits, Tex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGivenNameInCredits Context triple: [Tex Watson (Once Upon a Time in Hollywood character), hasGivenNameInCredits, Tex]
-
A.
givenNameInFilm
Indicates that a person is referred to by a particular given (first) name within the context of a specific film.
-
B.
hasGivenNameInTitle
Indicates that the given name of an entity appears within the title of another entity.
-
C.
hasGivenNameWith
Indicates that an entity is associated with a specific given (first) name.
-
D.
hasNameGivenTo
Indicates that one entity is the name that has been assigned or given to another entity.
-
E.
hasGivenNameInWork
chosen
Indicates that a work specifies or uses a particular given (first) name for an entity or character.
- 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_69f76ecf39c081909baffe597bb55273 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbacaf54648190811ea33b34907e8e |
completed | May 6, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69fba883f770819091059c6f6c6af9f7 |
completed | May 6, 2026, 8:45 p.m. |
Created at: May 3, 2026, 4:18 p.m.