Triple
T36800340
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Péri |
E909303
|
entity |
| Predicate | narrativeInfluence |
P188452
|
FINISHED |
| Object | Persian legend |
—
|
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: Persian legend | Statement: [La Péri, narrativeInfluence, Persian legend]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: narrativeInfluence Context triple: [La Péri, narrativeInfluence, Persian legend]
-
A.
narrativeImpactOn
Indicates how one element influences, shapes, or alters the narrative significance or storyline of another.
-
B.
narrativeEffect
Indicates how one event, action, or element in a story influences the progression, tone, or interpretation of the overall narrative.
-
C.
influencesInStory
chosen
Indicates that one entity affects, shapes, or alters another entity within the context of a narrative or story.
-
D.
narrative
Indicates that one entity tells, presents, or conveys a story or sequence of events about another entity or situation.
-
E.
narrativeImportance
Indicates the degree to which an entity or event is central, influential, or essential within the structure and progression of a narrative.
- 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_69f76e7b98888190899b6478a82ad6ae |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fd509e6bc08190b263923c2f40fea3 |
completed | May 8, 2026, 2:55 a.m. |
| PD | Predicate disambiguation | batch_69fd4fd1a58881909d4b84de1b24e380 |
completed | May 8, 2026, 2:52 a.m. |
Created at: May 3, 2026, 4:12 p.m.