Triple
T18710174
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuart Townsend |
E457484
|
entity |
| Predicate | startTimeOfRelationshipWithCharlizeTheron |
P132380
|
FINISHED |
| Object | circa 2001 |
—
|
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 2001 | Statement: [Stuart Townsend, startTimeOfRelationshipWithCharlizeTheron, circa 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfRelationshipWithCharlizeTheron Context triple: [Stuart Townsend, startTimeOfRelationshipWithCharlizeTheron, circa 2001]
-
A.
marriageStartTimeWithCharlieBrooks
Indicates the time at which a marriage involving Charlie Brooks began.
-
B.
startTimeOfMarriageWithCaryGrant
Indicates the date and time when an individual’s marriage to Cary Grant began.
-
C.
endTimeOfMarriageToGeenaDavis
Indicates the date and time at which the subject’s marriage to Geena Davis ended.
-
D.
endTimeOfMarriageToKateWinslet
Indicates the date and time at which a person's marriage to Kate Winslet ended.
-
E.
startTimeOfMarriageToKateWinslet
Indicates the date and time at which an individual’s marriage to Kate Winslet 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_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.