Triple
T7047583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paige Butcher |
E163679
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Paige |
E344442
|
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: Paige | Statement: [Paige Butcher, givenName, Paige]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paige Context triple: [Paige Butcher, givenName, Paige]
-
A.
Paige
Paige is a British professional wrestler whose life and career inspired the biographical sports comedy-drama film "Fighting with My Family."
-
B.
Paige
chosen
Paige is a given name commonly used for girls, often associated with modern English-speaking usage.
-
C.
Paige Meade
Paige Meade is an actress known for her role in the British science-fiction comedy film "Attack the Block."
-
D.
Paige Moss
Paige Moss is an American actress best known for her roles in 1990s teen films and television series, including a supporting role in the ensemble comedy "Can’t Hardly Wait."
-
E.
Paige Hurd
Paige Hurd is an American actress best known for her roles in television series such as "Everybody Hates Chris" and "The Oval," as well as various film appearances.
- 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_69c6885f598c8190b6b6495c59d8d962 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e24c4004819086002bfe55502374 |
completed | March 27, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7887e6e50819088c23c9b45861a54 |
completed | March 28, 2026, 7:51 a.m. |
Created at: March 27, 2026, 2:37 p.m.