Triple
T27966496
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Devil Girls |
E704736
|
entity |
| Predicate | hasFictionalEmployerOrganization |
P109189
|
FINISHED |
| Object | Los Angeles Devils franchise |
—
|
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: Los Angeles Devils franchise | Statement: [Devil Girls, hasFictionalEmployerOrganization, Los Angeles Devils franchise]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasFictionalEmployerOrganization Context triple: [Devil Girls, hasFictionalEmployerOrganization, Los Angeles Devils franchise]
-
A.
hasFictionalCorporation
Indicates that an entity is associated with or includes a fictional corporation within its content, setting, or narrative.
-
B.
worksForFictionalOrganization
chosen
Indicates that an entity is employed by or affiliated as a worker with a fictional organization.
-
C.
hasFictionalProductionCompany
Indicates that one entity is associated with or owns a production company that exists only within a fictional context.
-
D.
setInFictionalOrganization
Indicates that an entity is located within, associated with, or takes place inside a fictional organization.
-
E.
hasFictionalParentCompany
Indicates that an entity is associated with a parent company that exists only in a fictional or imaginary context.
- 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_69ef841061e48190b5570f9562f7434d |
completed | April 27, 2026, 3:43 p.m. |
| NER | Named-entity recognition | batch_69fcd867f36081908c88c55a6a1404c1 |
completed | May 7, 2026, 6:22 p.m. |
| PD | Predicate disambiguation | batch_69fcd1f47b188190b4cf4b4c748d9d03 |
completed | May 7, 2026, 5:55 p.m. |
Created at: April 27, 2026, 7:35 p.m.