Triple
T19608227
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | P. T. Barnum |
E470660
|
entity |
| Predicate | marriageEndTimeWithCharityHallett |
P136448
|
FINISHED |
| Object | 1873 |
—
|
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: 1873 | Statement: [P. T. Barnum, marriageEndTimeWithCharityHallett, 1873]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageEndTimeWithCharityHallett Context triple: [P. T. Barnum, marriageEndTimeWithCharityHallett, 1873]
-
A.
marriageEndTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially ended.
-
B.
endTime (marriage to John Spencer-Churchill)
Indicates the date and time at which the marriage to John Spencer-Churchill ended.
-
C.
endTime (marriage to Jaime de Marichalar)
Indicates the time at which the marriage to Jaime de Marichalar officially ended.
-
D.
endTimeOfMarriageTo Eve Abbott
Indicates the specific time at which the subject’s marriage to Eve Abbott ended.
-
E.
marriageEndDateWithRobertDevereux
Indicates the date on which a marriage involving Robert Devereux officially ended.
- 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_69d8e510fa248190b7afb274a1d4cf73 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e640c964fc8190bd1cb60f4b233eaa |
completed | April 20, 2026, 3:05 p.m. |
| PD | Predicate disambiguation | batch_69e514e166dc8190a0f147e0b4c8bbe7 |
completed | April 19, 2026, 5:46 p.m. |
| PDg | Predicate description generation | batch_69e5174b060c81908937ff9ff7fce611 |
completed | April 19, 2026, 5:56 p.m. |
Created at: April 10, 2026, 1:43 p.m.