Triple
T30800784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fred MacMurray |
E784361
|
entity |
| Predicate | startTimeOfMarriageWith Lillian Lamont |
P198678
|
FINISHED |
| Object | 1936 |
—
|
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: 1936 | Statement: [Fred MacMurray, startTimeOfMarriageWith Lillian Lamont, 1936]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageWith Lillian Lamont Context triple: [Fred MacMurray, startTimeOfMarriageWith Lillian Lamont, 1936]
-
A.
endTimeOfMarriageWith Lillian Lamont
Indicates the date and time when the marriage with Lillian Lamont legally or formally ended.
-
B.
endTimeOfMarriageTo Eve Abbott
Indicates the specific time at which the subject’s marriage to Eve Abbott ended.
-
C.
laterMarriedIn
Indicates that two entities became married at a later time relative to a previously referenced event or marital status.
-
D.
startTimeOfMarriageTo Eve Abbott
Indicates the specific date and time when the subject’s marriage to Eve Abbott began.
-
E.
startTimeOfMarriageWith Fred MacMurray
chosen
Indicates the specific time at which a marriage involving Fred MacMurray began.
- 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_69f224b3a7ec819096939414d103e31e |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69feff70fbec8190b1ff5f943f29613e |
completed | May 9, 2026, 9:33 a.m. |
| PD | Predicate disambiguation | batch_69fefbcd5b7881909cfe52b32f8a4301 |
completed | May 9, 2026, 9:18 a.m. |
Created at: April 29, 2026, 8:42 p.m.