Triple
T33595034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew Poncelet |
E860536
|
entity |
| Predicate | onDeathRowFor |
P79988
|
FINISHED |
| Object | murder (fictional) |
—
|
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: murder (fictional) | Statement: [Matthew Poncelet, onDeathRowFor, murder (fictional)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: onDeathRowFor Context triple: [Matthew Poncelet, onDeathRowFor, murder (fictional)]
-
A.
deathRowIncarceration
Indicates that an individual is incarcerated in prison under a death sentence, awaiting execution.
-
B.
deathPenaltyImposed
Indicates that a legal authority has formally assigned the death penalty as the punishment for an entity.
-
C.
deathPenaltyImposedFor
chosen
Indicates that a death penalty has been officially assigned as the punishment for a particular offense or action.
-
D.
numberSentencedToDeath
Indicates the number of individuals who have been formally sentenced to receive the death penalty.
-
E.
diedInCustodyOf
Indicates that an individual died while under the control, supervision, or physical custody of a specified authority or entity.
- F. None of above.
Provenance (3 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_69f3497f35908190a2e9bbb9b96c7a3f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6f79f69e88190a9f558fff65adf74 |
completed | May 3, 2026, 7:22 a.m. |
| PD | Predicate disambiguation | batch_69f6f6632dfc8190af85e258c8519207 |
completed | May 3, 2026, 7:16 a.m. |
Created at: May 1, 2026, 1:41 a.m.