Triple
T36342720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lola (Damn Yankees) |
E894972
|
entity |
| Predicate | influencedByArchetype |
P102015
|
FINISHED |
| Object | classic femme fatale of film noir |
—
|
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: classic femme fatale of film noir | Statement: [Lola (Damn Yankees), influencedByArchetype, classic femme fatale of film noir]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: influencedByArchetype Context triple: [Lola (Damn Yankees), influencedByArchetype, classic femme fatale of film noir]
-
A.
influencesCharacter
Indicates that one entity affects, shapes, or alters the traits, behavior, or development of another entity’s character.
-
B.
usesCharacterArchetype
chosen
Indicates that one entity employs or incorporates the character archetype represented by another entity in its narrative or design.
-
C.
wereInfluencedBy
Indicates that one entity’s ideas, actions, or characteristics were shaped or affected by another entity.
-
D.
personalityType
Indicates the specific psychological or behavioral profile that characterizes an entity’s typical patterns of thinking, feeling, and acting.
-
E.
hasArchetype
Indicates that one entity serves as the original model, pattern, or prototype upon which another entity is based or conceptually derived.
- 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_69f76e4e90148190b02fe52593c70b5b |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 3, 2026, 4:09 p.m.