Triple
T30260442
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain America: Brave New World |
E769474
|
entity |
| Predicate | HarrisonFordPlays |
P169029
|
FINISHED |
| Object | Harrison Ford as Thaddeus Ross |
—
|
LITERAL FINISHED |
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: Harrison Ford as Thaddeus Ross | Statement: [Captain America: Brave New World, HarrisonFordPlays, Harrison Ford as Thaddeus Ross]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: HarrisonFordPlays Context triple: [Captain America: Brave New World, HarrisonFordPlays, Harrison Ford as Thaddeus Ross]
-
A.
hasFictionalFilmWithinPlay
Indicates that within a theatrical play, there is a fictional film that exists or is depicted as part of the play’s narrative or structure.
-
B.
دور رئيسي
Indicates that an entity plays a primary or leading role in an action, event, or relationship compared to other involved entities.
-
C.
hasStarshipClassDepicted
Indicates that an entity includes or shows a depiction of a particular starship class.
-
D.
worksForCharacterPlayedBy
Indicates that one character is employed by, or works under, another character who is portrayed by a specific actor.
-
E.
roleInTheAdventuresOfFordFairlane
Indicates that an entity has a specific role or appearance in the film "The Adventures of Ford Fairlane."
- 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_69f22484a5f48190b678cd607700bc82 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f680a8686081908e2d3244655c84fb |
completed | May 2, 2026, 10:54 p.m. |
| PD | Predicate disambiguation | batch_69f6760216108190bbb708d53a6c2c25 |
completed | May 2, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69f676c35f3481909b9ba18a5662d6ce |
completed | May 2, 2026, 10:12 p.m. |
Created at: April 29, 2026, 7:41 p.m.