Triple
T10061046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paola Mori |
E212987
|
entity |
| Predicate | marriageOrderWithOrsonWelles |
P4764
|
FINISHED |
| Object | third 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: third wife | Statement: [Paola Mori, marriageOrderWithOrsonWelles, third wife]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageOrderWithOrsonWelles Context triple: [Paola Mori, marriageOrderWithOrsonWelles, third wife]
-
A.
marriageOrderToClarkGable
Indicates the chronological position in which an entity married Clark Gable relative to his other spouses.
-
B.
spouseOrder
chosen
Indicates the position or sequence of a person among multiple spouses in a marital relationship.
-
C.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
-
D.
marriageEndWith Billy Wilder
Indicates that a marriage terminates or concludes with Billy Wilder as one of the spouses.
-
E.
marriageSequenceToHussein
Indicates that an entity enters into a marriage with Hussein at a specific point or order within a sequence of marriages.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd1fc98819082ec3f2f91151955 |
completed | April 2, 2026, 2:09 a.m. |
| PD | Predicate disambiguation | batch_69cd4b92573481909389bc6148ae7ea8 |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 8:57 p.m.