Triple
T36980663
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Batman: Turning Points |
E914817
|
entity |
| Predicate | starsSuperhero |
P99105
|
FINISHED |
| Object | Batman |
—
|
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: Batman | Statement: [Batman: Turning Points, starsSuperhero, Batman]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: starsSuperhero Context triple: [Batman: Turning Points, starsSuperhero, Batman]
-
A.
superheroStatus
Indicates that an entity possesses the qualities, role, or designation of being a superhero, such as having heroic abilities, identity, or status.
-
B.
stars
Indicates that one entity marks, highlights, or designates another as special, important, or featured (often by assigning a star or similar marker).
-
C.
seriesStar
Indicates that an entity serves as a principal performer or featured actor in a series.
-
D.
heroDepicted
chosen
Indicates that one entity is portrayed or represented as a hero in relation to another entity.
-
E.
featuresCharacterWithSuperpowers
Indicates that the subject includes or portrays a character who possesses superhuman abilities or powers.
- 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_69fb154c0fe08190a2e41e7a29b6055f |
completed | May 6, 2026, 10:17 a.m. |
| PD | Predicate disambiguation | batch_69f9fecc005c8190be082a8689193745 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:14 p.m.