Triple
T7853576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Van Johnson |
E182115
|
entity |
| Predicate | startTimeOfMarriageTo Eve Abbott |
P79370
|
FINISHED |
| Object | 1947 |
—
|
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: 1947 | Statement: [Van Johnson, startTimeOfMarriageTo Eve Abbott, 1947]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: startTimeOfMarriageTo Eve Abbott Context triple: [Van Johnson, startTimeOfMarriageTo Eve Abbott, 1947]
-
A.
marriageStartTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially began.
-
B.
relationshipToEveHarrington
Indicates the nature or role of one entity’s connection or association to Eve Harrington.
-
C.
endTimeOfSpouse_J. Howard Marshall
Indicates the time at which the marital relationship with J. Howard Marshall ended.
-
D.
startTimeOfSpouseRelationshipWith John Jacob Astor IV
Indicates the point in time when John Jacob Astor IV’s spousal relationship with a partner began.
-
E.
marriedToBeforeFameOf
Indicates that one person was married to another person before the latter became famous.
- 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_69ca82869ee08190b8f9040dbc2c0467 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb18ed56d481909266d862e0ae152d |
completed | March 31, 2026, 12:44 a.m. |
| PD | Predicate disambiguation | batch_69cae92180f88190ae3d44c3de7adc93 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf786ec748190b6347b0c94335550 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:51 p.m.