Triple
T17063516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | August Wilson |
E414022
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Azula Carmen Wilson |
E414022
|
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: Azula Carmen Wilson | Statement: [August Wilson, child, Azula Carmen Wilson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azula Carmen Wilson Context triple: [August Wilson, child, Azula Carmen Wilson]
-
A.
Azula Carmen Wilson
chosen
Azula Carmen Wilson is a daughter of the acclaimed American playwright August Wilson.
-
B.
Rachel Zane
Rachel Zane is a central character in the legal drama series "Suits," known as a talented paralegal who aspires to become a lawyer and develops a key romantic relationship with Mike Ross.
-
C.
Mara Wilson
Mara Wilson is an American former child actress and writer best known for her roles in films like "Matilda," "Mrs. Doubtfire," and "Miracle on 34th Street."
-
D.
Makenzie Vega
Makenzie Vega is an American actress best known for her role as Grace Florrick on the television legal drama "The Good Wife."
-
E.
Crystle Lightning
Crystle Lightning is a Canadian-American actress and DJ known for her roles in film and television, particularly in 1990s family and action movies.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3db7f6a6081909bebce3ce925e663 |
completed | April 18, 2026, 7:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed7f6fc81908d27a6581fcfa265 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.