Triple
T10886558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paige Hurd |
E257062
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Paige Hurd |
E257062
|
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 Hurd | Statement: [Paige Hurd, name, Paige Hurd]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Paige Hurd Context triple: [Paige Hurd, name, Paige Hurd]
-
A.
Paige Hurd
chosen
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.
-
B.
Paige Meade
Paige Meade is an actress known for her role in the British science-fiction comedy film "Attack the Block."
-
C.
Paige Brown
Paige Brown is a film producer best known for her work on the mystery adventure movie "Enola Holmes."
-
D.
Paige Howard
Paige Howard is an American actress known for her work in film, television, and theater, and as a member of the Howard entertainment family.
-
E.
Paige Matthews
Paige Matthews is a central witch character in the television series "Charmed," known as the half-sister who joins the Halliwell sisters to complete the Power of Three.
- 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_69d6aa848804819081b2713ca0bedf06 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d751dea1a88190b916879be8d74413 |
completed | April 9, 2026, 7:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef1243b14081909d07ab0ebb32cc68 |
completed | April 27, 2026, 7:37 a.m. |
Created at: April 8, 2026, 9:21 p.m.