Triple
T5405074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Démon Blond |
E120871
|
entity |
| Predicate | positionAssociated |
P5131
|
FINISHED |
| Object | right wing |
—
|
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: right wing | Statement: [Le Démon Blond, positionAssociated, right wing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: positionAssociated Context triple: [Le Démon Blond, positionAssociated, right wing]
-
A.
positionOn
Indicates that one entity is located on top of or at a specific place along the surface or extent of another entity.
-
B.
positionEstablishedIn
Indicates the point in time or event when a particular position, role, or office was formally created or instituted.
-
C.
positionA
chosen
Indicates the spatial or ordered position of an entity A within a defined reference frame or sequence.
-
D.
positionUse
Indicates how a particular position or role is utilized or functionally applied within a given context.
-
E.
positionSpecific
Indicates that something applies only at, or is defined with respect to, a particular position or location within a larger structure or sequence.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8775e964819085c0ff5afea35f0e |
completed | March 20, 2026, 5:44 p.m. |
| PD | Predicate disambiguation | batch_69bd8467e6b48190b9eaa9de67072e06 |
completed | March 20, 2026, 5:31 p.m. |
Created at: March 20, 2026, 2:05 p.m.