Triple
T1770967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wonder Woman (2017 film) |
E38872
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Diana Prince
Diana Prince is the Amazonian warrior princess better known as Wonder Woman, a DC Comics superhero who leaves her hidden island to protect humanity.
|
E199708
|
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: Diana Prince | Statement: [Wonder Woman (2017 film), mainCharacter, Diana Prince]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Prince Context triple: [Wonder Woman (2017 film), mainCharacter, Diana Prince]
-
A.
Superwoman
"Superwoman" is an empowering R&B ballad by Alicia Keys that celebrates female strength, resilience, and self-worth.
-
B.
Selina Kyle
Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
-
C.
Alex Scott
Alex Scott was an Australian actor known for his work in film and television, including a role in the controversial 1992 drama "Romper Stomper."
-
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.
Lois
Lois is the grandmother of Saint Timothy mentioned in the New Testament, noted for her sincere faith and role in nurturing Timothy’s Christian upbringing.
- 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: Diana Prince Triple: [Wonder Woman (2017 film), mainCharacter, Diana Prince]
Generated description
Diana Prince is the Amazonian warrior princess better known as Wonder Woman, a DC Comics superhero who leaves her hidden island to protect humanity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diana Prince Target entity description: Diana Prince is the Amazonian warrior princess better known as Wonder Woman, a DC Comics superhero who leaves her hidden island to protect humanity.
-
A.
Superwoman
"Superwoman" is an empowering R&B ballad by Alicia Keys that celebrates female strength, resilience, and self-worth.
-
B.
Selina Kyle
Selina Kyle is a cunning and morally ambiguous cat burglar in the Batman universe, best known by her alter ego Catwoman.
-
C.
Alex Scott
Alex Scott was an Australian actor known for his work in film and television, including a role in the controversial 1992 drama "Romper Stomper."
-
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.
Lois
Lois is the grandmother of Saint Timothy mentioned in the New Testament, noted for her sincere faith and role in nurturing Timothy’s Christian upbringing.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648fe908819098fd27b74b17fabb |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ada9936f5881909b78bda48039916a |
completed | March 8, 2026, 4:53 p.m. |
| NEDg | Description generation | batch_69adae9845f081908904030f7a10df63 |
completed | March 8, 2026, 5:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69adafa3494c8190b34a6930cf38ca40 |
completed | March 8, 2026, 5:19 p.m. |
Created at: March 4, 2026, 7:31 p.m.