Triple
T29430391
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gala Éluard |
E746410
|
entity |
| Predicate | metFutureSpouseAt |
P29935
|
FINISHED |
| Object | Cadaqués |
—
|
NE NERFINISHED |
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: Cadaqués | Statement: [Gala Éluard, metFutureSpouseAt, Cadaqués]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: metFutureSpouseAt Context triple: [Gala Éluard, metFutureSpouseAt, Cadaqués]
-
A.
metSpouseAt
chosen
Indicates that one person first encountered or became acquainted with their spouse at a particular place, event, or time.
-
B.
metSpouseThrough
Indicates that one person became acquainted with and subsequently married their spouse as a result of a particular intermediary person, event, place, or context.
-
C.
intendedSpouse
Indicates that one person is planned or expected to become the spouse of another, typically through an intended or future marriage.
-
D.
possiblySpouse
Indicates that two entities may be spouses, reflecting an uncertain or hypothesized marital relationship between them.
-
E.
spouse name
Indicates that one entity is the legally recognized husband or wife of the other, specifying the partner’s name in a marital relationship.
- 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_69f0a7a06e0081908add494075912eb4 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_69f66ac987f881908188ab4cb8c6eed7 |
completed | May 2, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69f6659b62fc8190b21555d0ba54db2d |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 3:12 p.m.