Triple
T34345498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Horton |
E881421
|
entity |
| Predicate | startTimeOfSpouseNicoleDeputron |
P14428
|
FINISHED |
| Object | 1995 |
—
|
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: 1995 | Statement: [Peter Horton, startTimeOfSpouseNicoleDeputron, 1995]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSpouseNicoleDeputron Context triple: [Peter Horton, startTimeOfSpouseNicoleDeputron, 1995]
-
A.
spouseStartTime
chosen
Indicates the point in time when two individuals began their spousal (marriage) relationship.
-
B.
spousePositionHeldStartTime
Indicates the date and time when a spouse first began holding a particular position or office.
-
C.
metSpouseAt
Indicates that one person first encountered or became acquainted with their spouse at a particular place, event, or time.
-
D.
startTimeOfSpouseMichellePfeiffer
Indicates the time at which Michelle Pfeiffer’s spouse began being her spouse (i.e., the start of their marital relationship).
-
E.
spouseOfSince
Indicates that two individuals are spouses and specifies the date or time from which their marital relationship has been in effect.
- 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_69f349bc55e881908c8e338ef76b0043 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a0019b0e9fc81909494320f05e81742 |
completed | May 10, 2026, 5:37 a.m. |
| PD | Predicate disambiguation | batch_6a00193379e0819096d1985686ce10e3 |
completed | May 10, 2026, 5:35 a.m. |
Created at: May 1, 2026, 1:58 a.m.