Triple
T4889837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Camille Cosby |
E109530
|
entity |
| Predicate | startTimeOfMarriageWithBillCosby |
P60429
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Camille Cosby, startTimeOfMarriageWithBillCosby, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageWithBillCosby Context triple: [Camille Cosby, startTimeOfMarriageWithBillCosby, 1964]
-
A.
startTimeOfMarriageWithWhitneyHouston
Indicates the date and time at which an individual's marriage to Whitney Houston began.
-
B.
marriageStartWithMathewKnowles
Indicates the point in time when an entity begins a marital relationship with Mathew Knowles.
-
C.
startTimeOfMarriageWithCarolBurnett
Indicates the time at which an individual’s marriage to Carol Burnett began.
-
D.
endTimeOfMarriageWithWhitneyHouston
Indicates the date and time when an individual's marriage to Whitney Houston came to an end.
-
E.
startTimeOfMarriageWithCaryGrant
Indicates the date and time when an individual’s marriage to Cary Grant began.
- 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ff981fc819080d4466c6fe06cf3 |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c2e7b5c8190b8bf9d616dfa24f0 |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6ff731188190a9903602122d4ff9 |
completed | March 20, 2026, 4:04 p.m. |
Created at: March 20, 2026, 1:28 p.m.