Triple
T15368080
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nicole Houston Reed |
E367467
|
entity |
| Predicate | marriageStartWithIanSomerhalder |
P118299
|
FINISHED |
| Object | 2015-04-26 |
—
|
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: 2015-04-26 | Statement: [Nicole Houston Reed, marriageStartWithIanSomerhalder, 2015-04-26]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithIanSomerhalder Context triple: [Nicole Houston Reed, marriageStartWithIanSomerhalder, 2015-04-26]
-
A.
marriageStartWithGavinRossdale
Indicates the point in time when a marriage begins in which Gavin Rossdale is one of the spouses.
-
B.
marriageStartWithLucienBallard
Indicates the point in time when a marriage involving Lucien Ballard begins.
-
C.
marriageStartWithBenAffleck
Indicates the point in time when a marriage involving Ben Affleck begins.
-
D.
marriageStartWithMilaKunis
Indicates the point in time when a marriage involving Mila Kunis begins.
-
E.
marriageStartWithBlakeShelton
Indicates the point in time when a marriage involving Blake Shelton begins.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e4a7cdc8190b7b48c97e774c306 |
completed | April 16, 2026, 1:41 a.m. |
| PD | Predicate disambiguation | batch_69deca9ab7e88190a9261ef27be665b1 |
completed | April 14, 2026, 11:15 p.m. |
| PDg | Predicate description generation | batch_69decf2e413481909d9180a8d78d2c17 |
completed | April 14, 2026, 11:35 p.m. |
Created at: April 10, 2026, 3:18 a.m.