Triple
T1108491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dark Knight |
E25539
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Harvey Dent
Harvey Dent is a prominent Gotham City district attorney who becomes the tragic, disfigured villain Two-Face in the Batman universe.
|
E126865
|
NE FINISHED |
How this triple was built (4 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: Harvey Dent | Statement: [The Dark Knight, character, Harvey Dent]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harvey Dent Context triple: [The Dark Knight, character, Harvey Dent]
-
A.
Rich Gotham
Rich Gotham is an American sports executive best known for serving as the president of the NBA’s Boston Celtics.
-
B.
Tom Drake
Tom Drake was an American film and television actor best known for his role as "The Boy Next Door" opposite Judy Garland in the classic 1944 musical Meet Me in St. Louis.
-
C.
Barry Kane
Barry Kane is an American folk singer best known as a member of the 1960s folk group The New Christy Minstrels.
-
D.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Harvey Dent Triple: [The Dark Knight, character, Harvey Dent]
Generated description
Harvey Dent is a prominent Gotham City district attorney who becomes the tragic, disfigured villain Two-Face in the Batman universe.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harvey Dent Target entity description: Harvey Dent is a prominent Gotham City district attorney who becomes the tragic, disfigured villain Two-Face in the Batman universe.
-
A.
Rich Gotham
Rich Gotham is an American sports executive best known for serving as the president of the NBA’s Boston Celtics.
-
B.
Tom Drake
Tom Drake was an American film and television actor best known for his role as "The Boy Next Door" opposite Judy Garland in the classic 1944 musical Meet Me in St. Louis.
-
C.
Barry Kane
Barry Kane is an American folk singer best known as a member of the 1960s folk group The New Christy Minstrels.
-
D.
Elias Pearce
Elias Pearce was the mountaineer credited with making the first recorded ascent of Mount Shasta in California.
-
E.
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.
- F. None of above. chosen
Provenance (5 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_69a49428d4448190b3b36991ceae87ce |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4b9e6134481909f348986a25f65c6 |
completed | March 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac4c4f65888190b48c2d220e62a26b |
completed | March 7, 2026, 4:03 p.m. |
| NEDg | Description generation | batch_69ac500036f48190bab0bf4e07d5c9ae |
completed | March 7, 2026, 4:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac508ca8e48190bfea6ad9b6920e78 |
completed | March 7, 2026, 4:21 p.m. |
Created at: March 1, 2026, 7:43 p.m.