Triple
T9766362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Gibbins |
E237002
|
entity |
| Predicate | marriageStartBefore |
P33258
|
FINISHED |
| Object | Michael Palin’s Monty Python fame |
—
|
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: Michael Palin’s Monty Python fame | Statement: [Helen Gibbins, marriageStartBefore, Michael Palin’s Monty Python fame]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartBefore Context triple: [Helen Gibbins, marriageStartBefore, Michael Palin’s Monty Python fame]
-
A.
ageAtMarriage
Indicates the age a person was when they got married.
-
B.
marriageDate
Indicates the specific date on which two entities entered into a marital relationship.
-
C.
betrothalAge
Indicates the age at which a person becomes formally engaged to be married.
-
D.
marriedOn
Indicates that a marriage event took place on a specific date for the related entities.
-
E.
marriedBefore
chosen
Indicates that one entity entered into a marriage at an earlier time than the other entity.
- 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_69ca84d831b8819090322686b47887ce |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda0a15e408190909745cb1c30937d |
completed | April 1, 2026, 10:48 p.m. |
| PD | Predicate disambiguation | batch_69cd03d3b68c81909e570401a891b9f2 |
completed | April 1, 2026, 11:38 a.m. |
Created at: March 30, 2026, 8:25 p.m.