Triple
T10758946
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margot Birmingham Perot |
E253772
|
entity |
| Predicate | spouseDeath |
P95821
|
FINISHED |
| Object | Ross Perot is deceased |
—
|
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: Ross Perot is deceased | Statement: [Margot Birmingham Perot, spouseDeath, Ross Perot is deceased]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseDeath Context triple: [Margot Birmingham Perot, spouseDeath, Ross Perot is deceased]
-
A.
spouseDeathContext
Indicates the circumstances or contextual details surrounding the death of a person’s spouse.
-
B.
spouseDateOfDeath
Indicates the date on which a person's spouse died.
-
C.
spouseStatusAfterDeath
Indicates the marital status or spousal relationship of a person after the death of their spouse.
-
D.
spousePlaceOfDeath
Indicates the location where a person's spouse died.
-
E.
marriedToUntilDeathOfSpouse
Indicates a marital relationship that is intended to remain in effect until the death of one of the spouses.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d72ea21c5081908babc049d0330a75 |
completed | April 9, 2026, 4:44 a.m. |
| PD | Predicate disambiguation | batch_69d6f311529c819080ca5493d55d6050 |
completed | April 9, 2026, 12:30 a.m. |
| PDg | Predicate description generation | batch_69d6fa323564819097b207eb53f8a9b8 |
completed | April 9, 2026, 1 a.m. |
Created at: April 8, 2026, 9:16 p.m.