Triple
T11054319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yolanda Foster |
E261335
|
entity |
| Predicate | startTimeOfSpouseMohamedHadidMarriage |
P14428
|
FINISHED |
| Object | 1994 |
—
|
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: 1994 | Statement: [Yolanda Foster, startTimeOfSpouseMohamedHadidMarriage, 1994]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSpouseMohamedHadidMarriage Context triple: [Yolanda Foster, startTimeOfSpouseMohamedHadidMarriage, 1994]
-
A.
startTimeOfMarriageWithKingHussein
Indicates the date and time when a person’s marriage to King Hussein began.
-
B.
spouseStartTime
chosen
Indicates the point in time when two individuals began their spousal (marriage) relationship.
-
C.
startTime (marriage to Stavros Niarchos)
Indicates the date and time when the marriage to Stavros Niarchos began.
-
D.
spouseOfSince
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
-
E.
startTimeOfMarriageWithWhitneyHouston
Indicates the date and time at which an individual's marriage to Whitney Houston began.
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d798a0890481909c1d4f9d5b23f33a |
completed | April 9, 2026, 12:16 p.m. |
| PD | Predicate disambiguation | batch_69d7440da46c8190a77380d5d747ac9c |
completed | April 9, 2026, 6:15 a.m. |
Created at: April 8, 2026, 9:26 p.m.