Triple
T12533386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sylvie Guillem |
E299624
|
entity |
| Predicate | dateOfPromotionToÉtoile |
P24759
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Sylvie Guillem, dateOfPromotionToÉtoile, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: dateOfPromotionToÉtoile Context triple: [Sylvie Guillem, dateOfPromotionToÉtoile, 1984]
-
A.
dateOfPromotion
chosen
Indicates the specific date on which an entity was promoted to a new position, rank, or status.
-
B.
promotedToMarshalOfFrance
Indicates that a person has been elevated or appointed to the rank or office of Marshal of France.
-
C.
promotedAt
Indicates the time or date at which an entity was elevated to a higher rank, position, or status.
-
D.
typicalTimeInRankBeforePromotion
Indicates the usual duration an individual spends in a given rank or position before being promoted to the next level.
-
E.
militaryRankDate
Indicates the date on which an entity attained, held, or was recorded with a particular military rank.
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.