Triple
T14413166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 12 Rounds |
E357381
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Ashley Scott |
E466066
|
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: Ashley Scott | Statement: [12 Rounds, starring, Ashley Scott]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ashley Scott Context triple: [12 Rounds, starring, Ashley Scott]
-
A.
Ashley Scott
chosen
Ashley Scott is an American actress and former model best known for her roles in films like "Into the Blue" and TV series such as "Birds of Prey" and "Jericho."
-
B.
Ashley Reed
Ashley Reed is a former standout gymnast for the University of Florida’s Florida Gators program, recognized as a notable alumna of the team.
-
C.
Ashley Harlan
Ashley Harlan is an American physician assistant best known as the wife of former NFL quarterback Ben Roethlisberger.
-
D.
Ashley Greenwick
Ashley Greenwick is a fictional character from the series "Sirens," known for her role within the show's ensemble cast.
-
E.
Ashley Crow
Ashley Crow is an American actress best known for her role as Sandra Bennet on the television series "Heroes."
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90cb3c708190822f5506ebf7ee9d |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aa705e08190bff1ab4125bd773f |
completed | May 8, 2026, 7:03 a.m. |
Created at: April 10, 2026, 1:17 a.m.