Triple
T21449103
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahney Her |
E529159
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ahney Her |
E529159
|
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: Ahney Her | Statement: [Ahney Her, name, Ahney Her]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahney Her Context triple: [Ahney Her, name, Ahney Her]
-
A.
Ahney Her
chosen
Ahney Her is an American actress best known for her breakout role as Sue Lor in Clint Eastwood’s film "Gran Torino."
-
B.
Alaina
Alaina is a feminine given name, typically considered a variant of names like Alain or Alan.
-
C.
Anette
Anette is a feminine given name, commonly used in various European countries and considered a variant of names like Annette or Annette-derived forms.
-
D.
Sabelle Breer
Sabelle Breer is a music producer and songwriter known for her work on tracks such as "Let Go."
-
E.
Hayley Schore
Hayley Schore is a television writer and producer best known for co-creating the medical drama series "The Resident."
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d11ca48190aafe25c97dfa5578 |
completed | April 23, 2026, 9:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09c907cb9c8190b4a50551b274a915 |
completed | May 17, 2026, 1:56 p.m. |
Created at: April 16, 2026, 6:06 p.m.