Triple
T18710175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Townsend |
E457484
|
entity |
| Predicate | endTimeOfRelationshipWithCharlizeTheron |
P132381
|
FINISHED |
| Object | circa 2010 |
—
|
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: circa 2010 | Statement: [Stuart Townsend, endTimeOfRelationshipWithCharlizeTheron, circa 2010]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfRelationshipWithCharlizeTheron Context triple: [Stuart Townsend, endTimeOfRelationshipWithCharlizeTheron, circa 2010]
-
A.
endTimeOfMarriageToGeenaDavis
Indicates the date and time at which the subject’s marriage to Geena Davis ended.
-
B.
endTimeOfMarriageWithCaryGrant
Indicates the date and time at which a person’s marriage to Cary Grant ended.
-
C.
endTimeOfMarriageToErrolFlynn
Indicates the date and time when a person's marriage to Errol Flynn ended.
-
D.
endTimeOfSpouseRelationshipWith Meghan Markle
Indicates the point in time when an individual's marital relationship with Meghan Markle ended.
-
E.
endTimeOfRelationshipWithPabloPicasso
Indicates the time at which a relationship with Pablo Picasso comes to an end.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5671a3c8c81909466bf5d81477a37 |
completed | April 19, 2026, 11:36 p.m. |
| PD | Predicate disambiguation | batch_69e478e0889c8190a118d67b200ce8ef |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484133ee48190a80f1889d79f34c9 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:50 a.m.