Triple
T21787464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Herbert Hoover |
E537876
|
entity |
| Predicate | marriageStartWithLouHenryHoover |
P145635
|
FINISHED |
| Object | 1899-02-10 |
—
|
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: 1899-02-10 | Statement: [Herbert Hoover, marriageStartWithLouHenryHoover, 1899-02-10]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithLouHenryHoover Context triple: [Herbert Hoover, marriageStartWithLouHenryHoover, 1899-02-10]
-
A.
marriageStartWithMarilynMonroe
Indicates the point in time when an entity begins a marriage with Marilyn Monroe.
-
B.
marriageStartWithHilaryBonner
Indicates the point in time when a person begins a marital relationship with Hilary Bonner.
-
C.
marriageToHedyLamarrStart
Indicates the point in time when an individual’s marriage to Hedy Lamarr begins.
-
D.
marriedToFuturePresident
Indicates being married to someone who will later become president.
-
E.
marriageStartToGlennFord
Indicates the point in time when a marriage to Glenn Ford 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_69e0c47198f881908cb0d237266c10e9 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0621c68588190977891055e80a499 |
completed | April 28, 2026, 7:30 a.m. |
| PD | Predicate disambiguation | batch_69e6be751ce881909badced245ef76c7 |
completed | April 21, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69e6c3a2898881909748935cf92f898c |
completed | April 21, 2026, 12:24 a.m. |
Created at: April 16, 2026, 6:52 p.m.