Triple
T7421483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lil |
E171255
|
entity |
| Predicate | narrativeThemeInvolvement |
P76867
|
FINISHED |
| Object | reputation as currency |
—
|
LITERAL 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: reputation as currency | Statement: [Lil, narrativeThemeInvolvement, reputation as currency]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeThemeInvolvement Context triple: [Lil, narrativeThemeInvolvement, reputation as currency]
-
A.
narrativeImportance
Indicates the degree to which an entity or event is central, influential, or essential within the structure and progression of a narrative.
-
B.
narrativeType
Indicates the specific kind or category of narrative (e.g., genre, structural form, or storytelling mode) associated with an entity.
-
C.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
D.
narrativeSubject
Indicates that an entity functions as the main subject or focal point within a narrative or story.
-
E.
narrativeStrategy
Indicates the method or approach used to structure, present, or convey a story or sequence of events.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2ebc520819087cfc2eb9dda0e17 |
completed | March 27, 2026, 9:13 p.m. |
| PD | Predicate disambiguation | batch_69c6f03648d08190b862d07fef71210c |
completed | March 27, 2026, 9:01 p.m. |
| PDg | Predicate description generation | batch_69c6f1ee5ab8819091082324f2dc3b8c |
completed | March 27, 2026, 9:09 p.m. |
Created at: March 27, 2026, 3:11 p.m.