Triple
T12134939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toni Lawrence |
E289031
|
entity |
| Predicate | marriageOrderWithBillyBobThornton |
P103567
|
FINISHED |
| Object | second wife |
—
|
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 wife | Statement: [Toni Lawrence, marriageOrderWithBillyBobThornton, second wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageOrderWithBillyBobThornton Context triple: [Toni Lawrence, marriageOrderWithBillyBobThornton, second wife]
-
A.
marriageOrderToClarkGable
Indicates the chronological position in which an entity married Clark Gable relative to his other spouses.
-
B.
marriageOrderRelativeToHattieMcDaniel
Indicates the position or sequence of a person’s marriage relative to Hattie McDaniel’s own marriages (e.g., before, after, or in comparison to a specific marriage of hers).
-
C.
marriageOrderWithClaudeRains
Indicates the sequence or order in which an entity entered into marriage with Claude Rains relative to his other spouses.
-
D.
spouseOrder
Indicates the position or sequence of a person among multiple spouses in a marital relationship.
-
E.
isFianceeOf
Indicates that one person is the engaged-to-be-married partner of another person.
- 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_69d6ab4b5e4c81909950b17151eb0951 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91841615c819097f20a7447a1b8f4 |
completed | April 10, 2026, 3:33 p.m. |
| PD | Predicate disambiguation | batch_69d91508f8008190b3a90ec0bf0953ca |
completed | April 10, 2026, 3:19 p.m. |
| PDg | Predicate description generation | batch_69d9183ec1008190b437b7d5e1f52830 |
completed | April 10, 2026, 3:33 p.m. |
Created at: April 8, 2026, 9:49 p.m.