Triple
T36060232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Liam Neeson as Briar Gates |
E1043055
|
entity |
| Predicate | hasSiblingInFilm |
P159391
|
FINISHED |
| Object | Truman Gates |
—
|
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: Truman Gates | Statement: [Liam Neeson as Briar Gates, hasSiblingInFilm, Truman Gates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSiblingInFilm Context triple: [Liam Neeson as Briar Gates, hasSiblingInFilm, Truman Gates]
-
A.
hasSiblingCoStars
chosen
Indicates that two or more entities have appeared together as co-stars and are siblings in relation to each other.
-
B.
hasRivalInFilm
Indicates that one entity serves as a rival or adversary to another within the context of a specific film.
-
C.
followedByInFilm
Indicates that one scene, shot, or event in a film immediately succeeds another in the narrative or editing sequence.
-
D.
followsInFilmography
Indicates that one work in a person’s filmography comes after another in chronological or credited order.
-
E.
inheritedByInFilm
Indicates that a character, role, or attribute is passed on or taken over by another character within the narrative of a film.
- 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_69f76e2f09448190b0486d5ecad5e243 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fe066d62b48190867df334039be786 |
completed | May 8, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69fe03afde3c8190a5b9b0778d19eb1a |
completed | May 8, 2026, 3:39 p.m. |
Created at: May 3, 2026, 4:08 p.m.