Triple
T35065005
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | David Hutton |
E1011704
|
entity |
| Predicate | marriageToAimeeSempleMcPhersonDescribedAs |
P138529
|
FINISHED |
| Object | controversial |
—
|
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: controversial | Statement: [David Hutton, marriageToAimeeSempleMcPhersonDescribedAs, controversial]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageToAimeeSempleMcPhersonDescribedAs Context triple: [David Hutton, marriageToAimeeSempleMcPhersonDescribedAs, controversial]
-
A.
marriedToTelevangelist
Indicates that a person is legally married to someone who is a televangelist.
-
B.
marriagePartnerOfControversialFigure
chosen
Indicates that one entity is the spouse of a figure who is widely regarded as controversial.
-
C.
marriageToGeorgeFoxStart
Indicates the point in time when an entity’s marriage to George Fox begins.
-
D.
marriageToProphetOccurredIn
Indicates that the marriage to the prophet took place in a specified location or context.
-
E.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
- 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_69f76dd193108190af2528186f25b72a |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd864235b481908738dbb69556bc62 |
completed | May 8, 2026, 6:44 a.m. |
| PD | Predicate disambiguation | batch_69fd8373b6bc819091c554f29ee17fec |
completed | May 8, 2026, 6:32 a.m. |
Created at: May 3, 2026, 4:01 p.m.