Triple
T20524028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne Bancroft |
E503885
|
entity |
| Predicate | startTimeOfSpouseRelationshipWithMelBrooks |
P140415
|
FINISHED |
| Object | 1964 |
—
|
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: 1964 | Statement: [Anne Bancroft, startTimeOfSpouseRelationshipWithMelBrooks, 1964]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfSpouseRelationshipWithMelBrooks Context triple: [Anne Bancroft, startTimeOfSpouseRelationshipWithMelBrooks, 1964]
-
A.
startTimeOfMarriageToBillMurray
Indicates the point in time when an individual’s marriage to Bill Murray began.
-
B.
endTimeOfMarriageToBillMurray
Indicates the date and time when a person's marriage to Bill Murray ended.
-
C.
marriageStartTimeWithCharlieBrooks
Indicates the time at which a marriage involving Charlie Brooks began.
-
D.
startTimeOfMarriageWithDanAykroyd
Indicates the date and time when a marriage involving Dan Aykroyd began.
-
E.
marriageToDannyBursteinStart
Indicates the point in time when an entity begins being married to Danny Burstein.
- 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_69e0b4b3a6e08190ae663701f50fab8e |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69f48691c8190af0ac959e92e10d9 |
completed | April 20, 2026, 9:48 p.m. |
| PD | Predicate disambiguation | batch_69e59fdb7ad88190924176c32a195db3 |
completed | April 20, 2026, 3:39 a.m. |
| PDg | Predicate description generation | batch_69e5a6a824748190bbe6192d73f3c613 |
completed | April 20, 2026, 4:08 a.m. |
Created at: April 16, 2026, 11:36 a.m.