Triple
T30958470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mollie Gates |
E788741
|
entity |
| Predicate | marriageStatusWithThomasMiddleditch |
P184864
|
FINISHED |
| Object | divorced |
—
|
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: divorced | Statement: [Mollie Gates, marriageStatusWithThomasMiddleditch, divorced]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStatusWithThomasMiddleditch Context triple: [Mollie Gates, marriageStatusWithThomasMiddleditch, divorced]
-
A.
marriageStatusWithMichaelCrawford
Indicates the marital relationship status that an entity has with Michael Crawford.
-
B.
hasSpouseInTVSeries
Indicates that one person is the spouse of another person within the context of a specific TV series.
-
C.
marriageStatusWithLonChaney
Indicates the marital relationship status that an entity has (or had) with Lon Chaney.
-
D.
marriedInSeason
Indicates that two entities entered into a marriage during a specified season of the year.
-
E.
marriageStatusWithMaryPickford
Indicates the marital relationship status that an entity has or had with Mary Pickford.
- 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_69f224c28c1881908c33b45d689f1724 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f7b628b17c8190aa058c1a51852a27 |
completed | May 3, 2026, 8:55 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
| PDg | Predicate description generation | batch_69f7b5cadd308190a864245a21b08f9a |
completed | May 3, 2026, 8:53 p.m. |
Created at: April 29, 2026, 8:54 p.m.