Triple
T1198483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Dark Knight Rises |
E25721
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Selina Kyle
Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
|
E135917
|
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: Selina Kyle | Statement: [The Dark Knight Rises, character, Selina Kyle]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Selina Kyle Context triple: [The Dark Knight Rises, character, Selina Kyle]
-
A.
Amanda Reed
Amanda Reed was the benefactor whose bequest and vision led to the establishment of Reed College in Portland, Oregon.
-
B.
Rachel Dawes
Rachel Dawes is a fictional Gotham City assistant district attorney and Bruce Wayne’s childhood friend and love interest in Christopher Nolan’s Batman film trilogy.
-
C.
Sharon Maguire
Sharon Maguire is a British film director best known for helming the hit romantic comedy "Bridget Jones’s Diary."
-
D.
Miss Quill
Miss Quill is a sharp-tongued, battle-hardened alien freedom fighter and teacher from the Doctor Who spin-off series "Class."
-
E.
Gwen Cooper
Gwen Cooper is a compassionate yet tough Welsh police officer who becomes a key member of the secret alien-hunting team in the British sci-fi series Torchwood.
- 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: Selina Kyle Triple: [The Dark Knight Rises, character, Selina Kyle]
Generated description
Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Selina Kyle Target entity description: Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
-
A.
Amanda Reed
Amanda Reed was the benefactor whose bequest and vision led to the establishment of Reed College in Portland, Oregon.
-
B.
Rachel Dawes
Rachel Dawes is a fictional Gotham City assistant district attorney and Bruce Wayne’s childhood friend and love interest in Christopher Nolan’s Batman film trilogy.
-
C.
Sharon Maguire
Sharon Maguire is a British film director best known for helming the hit romantic comedy "Bridget Jones’s Diary."
-
D.
Miss Quill
Miss Quill is a sharp-tongued, battle-hardened alien freedom fighter and teacher from the Doctor Who spin-off series "Class."
-
E.
Gwen Cooper
Gwen Cooper is a compassionate yet tough Welsh police officer who becomes a key member of the secret alien-hunting team in the British sci-fi series Torchwood.
- 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_69a49429f5ec8190a6a205eb0ae81e5e |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bd9c013c8190822d44d465d60fdb |
completed | March 1, 2026, 10:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac765c58d48190bbd460663d965097 |
completed | March 7, 2026, 7:02 p.m. |
| NEDg | Description generation | batch_69ac76f20f308190be3c831eb2d59763 |
completed | March 7, 2026, 7:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac775a43d881908f12026a38fba2c8 |
completed | March 7, 2026, 7:07 p.m. |
Created at: March 1, 2026, 7:46 p.m.