Triple
T29799950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Ashton |
E756663
|
entity |
| Predicate | operaCharacterName |
P199251
|
FINISHED |
| Object | Lucia Ashton |
—
|
NE NERFINISHED |
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: Lucia Ashton | Statement: [Lucy Ashton, operaCharacterName, Lucia Ashton]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operaCharacterName Context triple: [Lucy Ashton, operaCharacterName, Lucia Ashton]
-
A.
operaTitleCharacter
Indicates that a character is the title (namesake) character of a given opera.
-
B.
operaActRole
Indicates the role or character that a performer portrays in a specific act of an opera.
-
C.
operaOrOratorioCharacterType
Indicates that the subject is a character type or role as it appears specifically within an opera or an oratorio.
-
D.
operaAct
Indicates that an entity performs in or takes part in an act (segment) of an opera performance.
-
E.
performerCharacterName
Indicates that a performer is associated with or portrays a specific character name in a performance or work.
- F. None of above. chosen
Provenance (4 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_69f22454583081908927516cb9938d1d |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69ff289541e0819096eeceb8e6332650 |
completed | May 9, 2026, 12:29 p.m. |
| PD | Predicate disambiguation | batch_69ff281ab1988190920f0443be9f10cc |
completed | May 9, 2026, 12:27 p.m. |
| PDg | Predicate description generation | batch_69ff28948b34819090e7e8b0b19535b2 |
completed | May 9, 2026, 12:29 p.m. |
Created at: April 29, 2026, 5:17 p.m.