Triple
T3009889
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uncharted (film) |
E81989
|
entity |
| Predicate | basedOnCharacter |
P2004
|
FINISHED |
| Object | Chloe Frazer |
E322171
|
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: Chloe Frazer | Statement: [Uncharted (film), basedOnCharacter, Chloe Frazer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chloe Frazer Context triple: [Uncharted (film), basedOnCharacter, Chloe Frazer]
-
A.
Chloe Frazer
chosen
Chloe Frazer is a witty, resourceful treasure hunter and thief in the Uncharted franchise, known for her sharp tongue, moral ambiguity, and complex relationship with protagonist Nathan Drake.
-
B.
Chloe Wojin
Chloe Wojin is the daughter of Google co-founder Sergey Brin and biotech entrepreneur Anne Wojcicki.
-
C.
Cydney Daly
Cydney Daly is known as the daughter of Hall of Fame NBA coach Chuck Daly.
-
D.
Hadley Beeman
Hadley Beeman is a web standards and technology governance expert known for her leadership within the World Wide Web Consortium (W3C) and related digital policy initiatives.
-
E.
Hayley McFarland
Hayley McFarland is an American actress best known for her roles in horror and drama projects, including a supporting role in the film "The Conjuring" and appearances on television series such as "Lie to Me."
- 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_69ad8b1c4de88190a83b7cefaa1f2842 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a4ccbf08190a7580c9e758804d0 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20342ccf88190880b21f72948a4d3 |
completed | March 12, 2026, 12:05 a.m. |
Created at: March 8, 2026, 3 p.m.