Triple
T22546106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucille Western |
E557431
|
entity |
| Predicate | marriageOrderToVictorMature |
P148603
|
FINISHED |
| Object | first wife |
—
|
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: first wife | Statement: [Lucille Western, marriageOrderToVictorMature, first wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageOrderToVictorMature Context triple: [Lucille Western, marriageOrderToVictorMature, first wife]
-
A.
marriageOrderWithBelaLugosi
Indicates the chronological order in which an entity entered into marriage with Bela Lugosi.
-
B.
marriageOrderToBelaLugosi
Indicates the sequence or ranking of a person’s marriage in relation to their marriage to Bela Lugosi.
-
C.
marriageOrderWithMayaAngelou
Indicates the ordinal position in which an entity married Maya Angelou relative to her other spouses.
-
D.
marriageResolvedBy
Indicates that a marital relationship between two parties has been formally concluded or dissolved through a specific resolving action or process (e.g., divorce, annulment).
-
E.
marriageOrderWithTonyBennett
Indicates the ordinal position in which an entity married Tony Bennett relative to his other spouses.
- F. None of above. chosen
Provenance (4 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f35b9888190b4e1b50d5097b211 |
completed | April 29, 2026, 1:30 a.m. |
| PD | Predicate disambiguation | batch_69e898cb3fb48190add6ab24a2df5822 |
completed | April 22, 2026, 9:45 a.m. |
| PDg | Predicate description generation | batch_69e8aa3b4c288190951cca06d42bea51 |
completed | April 22, 2026, 11 a.m. |
Created at: April 16, 2026, 8:51 p.m.