Triple
T3975687
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kathie Lee Gifford |
E85635
|
entity |
| Predicate | marriageStartWithFrankGifford |
P53272
|
FINISHED |
| Object | 1986 |
—
|
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: 1986 | Statement: [Kathie Lee Gifford, marriageStartWithFrankGifford, 1986]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithFrankGifford Context triple: [Kathie Lee Gifford, marriageStartWithFrankGifford, 1986]
-
A.
marriageStartWithBenAffleck
Indicates the point in time when a marriage involving Ben Affleck begins.
-
B.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
C.
marriageStartWithEddieCibrian
Indicates the point in time when a marriage involving Eddie Cibrian begins.
-
D.
marriageStartWithRobinGivens
Indicates the point in time when a marriage involving Robin Givens begins.
-
E.
marriageStartWithLaurenceOlivier
Indicates the point in time when a marriage involving Laurence Olivier began.
- 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_69aed93908348190a26c8aaf4fab3e86 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefaca33e4819091957c7915857a42 |
completed | March 9, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69aef8f252b081909749d40440d372b2 |
completed | March 9, 2026, 4:44 p.m. |
| PDg | Predicate description generation | batch_69aefac8f7a48190b065487ce090eaf2 |
completed | March 9, 2026, 4:52 p.m. |
Created at: March 9, 2026, 3:33 p.m.