Triple
T12796544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Texas state execution chamber |
E305903
|
entity |
| Predicate | firstLethalInjectionExecution |
P106449
|
FINISHED |
| Object | 1982 |
—
|
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: 1982 | Statement: [Texas state execution chamber, firstLethalInjectionExecution, 1982]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstLethalInjectionExecution Context triple: [Texas state execution chamber, firstLethalInjectionExecution, 1982]
-
A.
notablePrisonerExecuted
Indicates that a person, recognized as a notable or significant prisoner, was executed while in custody.
-
B.
hasNotablePersonExecuted
Indicates that a notable or prominent person has been subjected to execution (e.g., capital punishment) in relation to the referenced entity.
-
C.
primaryPerpetratorExecutionDate
Indicates the date on which the main perpetrator of an act or crime was executed.
-
D.
lastInmateDeath
Indicates the date or event of the most recent death of an inmate within a given facility, system, or context.
-
E.
assassinationDate
Indicates the date on which an assassination of the referenced entity occurred.
- 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_69d7bdf366888190a8cccb982606889c |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96e6db68481909a2ca8da1287f3e0 |
completed | April 10, 2026, 9:41 p.m. |
| PD | Predicate disambiguation | batch_69d9640ed7448190b276e7fab649f7d2 |
completed | April 10, 2026, 8:56 p.m. |
| PDg | Predicate description generation | batch_69d96d88be0481908c311f1e71b61e70 |
completed | April 10, 2026, 9:37 p.m. |
Created at: April 9, 2026, 5:30 p.m.