Triple
T10936696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Blonde |
E258350
|
entity |
| Predicate | canOverlapWith |
P1867
|
FINISHED |
| Object | femme fatale archetype |
—
|
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: femme fatale archetype | Statement: [The Blonde, canOverlapWith, femme fatale archetype]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: canOverlapWith Context triple: [The Blonde, canOverlapWith, femme fatale archetype]
-
A.
overlapsWith
chosen
Indicates that two entities share a common part or region in space, time, or extent, but neither is completely contained within the other.
-
B.
canCoexistWith
Indicates that two entities are able to exist together in the same context or environment without conflict, interference, or mutual exclusion.
-
C.
doubleCoveredBy
Indicates that an entity is fully covered or overlapped twice by another entity or pair of entities, such that it is included in two distinct covering relationships.
-
D.
hasJurisdictionOverlapWith
Indicates that two authorities or entities share some portion of legal or regulatory control over the same area, subject, or set of activities.
-
E.
coincidesWith
Indicates that two entities occupy the same position, time, or state such that they exactly overlap or occur together.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770afaa1c8190b8fced9c694c0938 |
completed | April 9, 2026, 9:26 a.m. |
| PD | Predicate disambiguation | batch_69d72e816a98819096d6c10dfb88a66a |
completed | April 9, 2026, 4:43 a.m. |
Created at: April 8, 2026, 9:23 p.m.