Triple
T30800780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lillian Lamont |
E784361
|
entity |
| Predicate | endCauseOfMarriageWith Fred MacMurray |
P170516
|
FINISHED |
| Object | death of spouse (Lillian Lamont) |
—
|
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: death of spouse (Lillian Lamont) | Statement: [Lillian Lamont, endCauseOfMarriageWith Fred MacMurray, death of spouse (Lillian Lamont)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endCauseOfMarriageWith Fred MacMurray Context triple: [Lillian Lamont, endCauseOfMarriageWith Fred MacMurray, death of spouse (Lillian Lamont)]
-
A.
endCauseOfMarriageWith George C. Marshall
Indicates that the subject is the cause or reason for the termination or dissolution of a marriage involving George C. Marshall.
-
B.
isFianceeOf
Indicates that one person is the engaged-to-be-married partner of another person.
-
C.
marriageEndToGlennFord
Indicates the termination or end of a marriage in which Glenn Ford is one of the spouses.
-
D.
end time of marriage with Humphrey Bogart
Indicates the date and time at which a person’s marriage to Humphrey Bogart ended.
-
E.
marriageToHenryFondaEnd
Indicates the point in time or event at which a marriage to Henry Fonda ended.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69063edbc81909e7735954aabee0b |
completed | May 3, 2026, 12:01 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
| PDg | Predicate description generation | batch_69f68fb914b88190b0cad83ea9fe9dfc |
completed | May 2, 2026, 11:58 p.m. |
Created at: April 29, 2026, 8:42 p.m.