Triple
T35808655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Apex Predator |
E1035168
|
entity |
| Predicate | associatedWithStorylineRole |
P100869
|
FINISHED |
| Object | heel |
—
|
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: heel | Statement: [The Apex Predator, associatedWithStorylineRole, heel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedWithStorylineRole Context triple: [The Apex Predator, associatedWithStorylineRole, heel]
-
A.
associatedWithCharacterRole
Indicates that one entity has a connection or linkage to a specific character role played or held by another entity.
-
B.
associatedWithPersonInStory
Indicates that one entity has a connection or involvement with a specific person within the context of a story.
-
C.
associatedWithDirectorCharacter
Indicates a relationship where something is linked to or connected with a director character, typically signifying involvement, relevance, or attribution to that director character.
-
D.
associatedWithFilmCharacterType
chosen
Indicates that an entity has an association or connection with a particular type or category of film character.
-
E.
associatedWithAuthorRole
Indicates that an entity is connected to another entity specifically in the capacity or role of an author.
- 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_69f76e1762408190b885a8456862e372 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037ce70f54819082946dad8d380825 |
completed | May 12, 2026, 7:17 p.m. |
| PD | Predicate disambiguation | batch_6a037a069e6c8190857b611fffb7b867 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:06 p.m.