Triple
T10286084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | James Lloyd Crawford |
E241230
|
entity |
| Predicate | marriageOrderRelativeToHattieMcDaniel |
P93260
|
FINISHED |
| Object | second husband |
—
|
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: second husband | Statement: [James Lloyd Crawford, marriageOrderRelativeToHattieMcDaniel, second husband]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageOrderRelativeToHattieMcDaniel Context triple: [James Lloyd Crawford, marriageOrderRelativeToHattieMcDaniel, second husband]
-
A.
marriageOrderToClarkGable
Indicates the chronological position in which an entity married Clark Gable relative to his other spouses.
-
B.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
-
C.
marriageStatusWithMaryPickford
Indicates the marital relationship status that an entity has or had with Mary Pickford.
-
D.
marriedToArthurMillerBefore
Indicates that a person was married to Arthur Miller at some time prior to a specified reference point or event.
-
E.
marriedToNotablePerson
Indicates that a person is legally married to another individual who is widely recognized or notable.
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
| PDg | Predicate description generation | batch_69d4d7cada7881908beba55a1dc9ecb9 |
completed | April 7, 2026, 10:09 a.m. |
Created at: April 6, 2026, 11:40 a.m.