Triple
T21449104
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahney Her |
E529159
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Ahney
Ahney is an American actress best known for her role as Sue Lor in the film "Gran Torino."
|
E1485552
|
NE FINISHED |
How this triple was built (4 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 | Statement: [Ahney Her, givenName, Ahney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ahney Context triple: [Ahney Her, givenName, Ahney]
-
A.
Ainley
Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
-
B.
Ahay
Ahay is a component or segment within the larger work "Fever Dream," likely representing a distinct chapter, track, or thematic section of that creative piece.
-
C.
Anah
Anah is a minor biblical figure mentioned in Genesis as a descendant of Esau’s family line.
-
D.
Aynho
Aynho is a historic village in Northamptonshire, England, known for its picturesque setting near the River Cherwell and traditional stone architecture.
-
E.
Annesa
Annesa is the central female protagonist of the 1916 Italian silent film "Cenere," portrayed by the renowned actress Eleonora Duse.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Ahney Triple: [Ahney Her, givenName, Ahney]
Generated description
Ahney is an American actress best known for her role as Sue Lor in the film "Gran Torino."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ahney Target entity description: Ahney is an American actress best known for her role as Sue Lor in the film "Gran Torino."
-
A.
Ainley
Ainley is an English surname most notably associated with actor Anthony Ainley, known for his role as the Master in the classic Doctor Who series.
-
B.
Ahay
Ahay is a component or segment within the larger work "Fever Dream," likely representing a distinct chapter, track, or thematic section of that creative piece.
-
C.
Anah
Anah is a minor biblical figure mentioned in Genesis as a descendant of Esau’s family line.
-
D.
Aynho
Aynho is a historic village in Northamptonshire, England, known for its picturesque setting near the River Cherwell and traditional stone architecture.
-
E.
Annesa
Annesa is the central female protagonist of the 1916 Italian silent film "Cenere," portrayed by the renowned actress Eleonora Duse.
- F. None of above. chosen
Provenance (5 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. |
| NEDg | Description generation | batch_6a09ca21f52481909aa6033dbe4c5985 |
completed | May 17, 2026, 2:01 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09cb9587a88190b0e1c0d25d3733da |
completed | May 17, 2026, 2:07 p.m. |
Created at: April 16, 2026, 6:06 p.m.