Triple
T37722903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jennifer Garner |
E939635
|
entity |
| Predicate | endTimeOfSpouseBenAffleck |
P198800
|
FINISHED |
| Object | 2018 |
—
|
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: 2018 | Statement: [Jennifer Garner, endTimeOfSpouseBenAffleck, 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfSpouseBenAffleck Context triple: [Jennifer Garner, endTimeOfSpouseBenAffleck, 2018]
-
A.
endTimeOfSpouseMichellePfeiffer
Indicates the time at which Michelle Pfeiffer ceased to be the spouse of the referenced person or entity.
-
B.
endTimeOfMarriageToDrewBarrymore
Indicates the date and time when a subject’s marriage to Drew Barrymore ended.
-
C.
endTimeOfSpouseDennisQuaid
Indicates the time at which Dennis Quaid’s marital relationship with a given spouse ended.
-
D.
marriageStartWithBenAffleck
Indicates the point in time when a marriage involving Ben Affleck begins.
-
E.
endTimeOfSpouseRelationshipWith Ryan O'Neal
Indicates the point in time when a person's spousal relationship with Ryan O'Neal ended.
- 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_69f76edc208c8190bc8b9683f75e1024 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69ff069ec1348190815375c5c9e38404 |
completed | May 9, 2026, 10:04 a.m. |
| PD | Predicate disambiguation | batch_69ff05ba57f88190a45d20f18044e0fb |
completed | May 9, 2026, 10 a.m. |
| PDg | Predicate description generation | batch_69ff069ddf948190bdfe438953249dd0 |
completed | May 9, 2026, 10:04 a.m. |
Created at: May 3, 2026, 4:18 p.m.