Triple
T38431097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fist City |
E903801
|
entity |
| Predicate | showcasesPersonaOf |
P70717
|
FINISHED |
| Object | Loretta Lynn |
—
|
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: Loretta Lynn | Statement: [Fist City, showcasesPersonaOf, Loretta Lynn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: showcasesPersonaOf Context triple: [Fist City, showcasesPersonaOf, Loretta Lynn]
-
A.
portraysPersonAs
Indicates that one entity represents, depicts, or characterizes another person in a particular way or role.
-
B.
featuresBoldPersona
Indicates that an entity prominently showcases or embodies a strong, daring, or assertive persona.
-
C.
showcasesAt
Indicates that something is presented, exhibited, or displayed at a particular place, event, or context.
-
D.
stagePersonaOf
chosen
Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
-
E.
helpedShowcase
Indicates that one entity actively assisted in presenting, promoting, or displaying another entity to an audience.
- F. None of above.
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_69f76e6a2024819081aa04f4932f89d2 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fcce7afcd08190906cc3801152656a |
completed | May 7, 2026, 5:40 p.m. |
| PD | Predicate disambiguation | batch_69fcccf140ec8190862d53388a5f40d7 |
completed | May 7, 2026, 5:33 p.m. |
Created at: May 3, 2026, 4:31 p.m.