Triple
T30059204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maureen Starkey Tigrett |
E763822
|
entity |
| Predicate | marriageStartWithIsaacTigrett |
P181065
|
FINISHED |
| Object | 1989 |
—
|
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: 1989 | Statement: [Maureen Starkey Tigrett, marriageStartWithIsaacTigrett, 1989]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marriageStartWithIsaacTigrett Context triple: [Maureen Starkey Tigrett, marriageStartWithIsaacTigrett, 1989]
-
A.
marriageStartWithCaitlinMcHugh
Indicates the point in time when an individual begins a marital relationship with Caitlin McHugh.
-
B.
marriageStartTime
Indicates the date and time at which a marriage between two entities officially begins.
-
C.
marriageStartWithCharlesKimbrough
Indicates the point in time when a marriage involving Charles Kimbrough began.
-
D.
marriageStartNote
Indicates a note or comment providing additional context or details about the beginning of a marriage relationship.
-
E.
marriageStartTimeWithRossKemp
Indicates the time at which a marriage involving Ross Kemp officially 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_69f224716378819087a722e487832b70 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
| PDg | Predicate description generation | batch_69f760a2a90c8190b8fbc55412ab752b |
completed | May 3, 2026, 2:50 p.m. |
Created at: April 29, 2026, 6:57 p.m.