Triple
T4506737
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | DC Universe |
E101347
|
entity |
| Predicate | hasFictionalCharacter |
P15645
|
FINISHED |
| Object | Two-Face |
E126865
|
NE 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: Two-Face | Statement: [DC Universe, hasFictionalCharacter, Two-Face]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Two-Face Context triple: [DC Universe, hasFictionalCharacter, Two-Face]
-
A.
Oswald Cobblepot
Oswald Cobblepot, better known as the Penguin, is a deformed and vengeful crime lord in Gotham City who serves as one of Batman’s most iconic adversaries.
-
B.
Bane
Bane is a formidable masked villain in the Batman universe, known for his immense physical strength, strategic genius, and role as one of Batman’s most dangerous adversaries.
-
C.
Harvey Dent
chosen
Harvey Dent is a prominent Gotham City district attorney who becomes the tragic, disfigured villain Two-Face in the Batman universe.
-
D.
Joker
Joker is a 2019 psychological thriller film centered on the origin story of Batman’s iconic nemesis, depicting his descent into madness and violence in a gritty, character-driven narrative.
-
E.
Joker
Joker is a DC Comics–themed roller coaster at Six Flags México known for its chaotic, unpredictable ride experience.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd570e7bb8819097f7a575384a10a8 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f9d05d08190bde36e7d614a0e2e |
completed | March 20, 2026, 4:02 p.m. |
Created at: March 20, 2026, 1:01 p.m.