Triple
T15352747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Phyllis Gates |
E367093
|
entity |
| Predicate | startTimeOfMarriageToRockHudson |
P110983
|
FINISHED |
| Object | 1955-11-09 |
—
|
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: 1955-11-09 | Statement: [Phyllis Gates, startTimeOfMarriageToRockHudson, 1955-11-09]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageToRockHudson Context triple: [Phyllis Gates, startTimeOfMarriageToRockHudson, 1955-11-09]
-
A.
startTimeOfMarriageWithWhitneyHouston
Indicates the date and time at which an individual's marriage to Whitney Houston began.
-
B.
marriageStartTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially began.
-
C.
startTimeOfMarriageWithRobinWilliams
Indicates the time at which a marriage involving Robin Williams began.
-
D.
marriageStartTime
chosen
Indicates the date and time at which a marriage between two entities officially begins.
-
E.
startTimeOfMarriageToErrolFlynn
Indicates the date and time when a person’s marriage to Errol Flynn 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_69d85a1355608190a6673ddb67231d54 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2a8e88819093e4b7479b2c80cd |
completed | April 16, 2026, 1:40 a.m. |
| PD | Predicate disambiguation | batch_69deca991e5081908b0df3d1ee7d5338 |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:17 a.m.