Triple
T36980664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman: Turning Points |
E914817
|
entity |
| Predicate | starsSupportingCharacter |
P7748
|
FINISHED |
| Object | Commissioner James Gordon |
—
|
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: Commissioner James Gordon | Statement: [Batman: Turning Points, starsSupportingCharacter, Commissioner James Gordon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsSupportingCharacter Context triple: [Batman: Turning Points, starsSupportingCharacter, Commissioner James Gordon]
-
A.
supportingCharacter
chosen
Indicates that one entity plays a secondary or assisting role in the story or context relative to another primary entity.
-
B.
supportCharacter
Indicates that one entity provides assistance, backing, or reinforcement to another entity in performing an action or fulfilling a role.
-
C.
associatedCharacters
Indicates that two or more characters are linked or connected through some relationship, involvement, or relevance to each other.
-
D.
supportingCharacterPortrayedBy
Indicates that a supporting (non-leading) character in a work is portrayed or acted by a specific performer.
-
E.
supportedByCharacter
Indicates that an entity receives backing, assistance, or endorsement from a specific 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_69f76e8d13b4819089af24a47ce092fc |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
Created at: May 3, 2026, 4:14 p.m.