Triple
T28437352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | State of California v. Robert Durst |
E715302
|
entity |
| Predicate | defendantDeathLocation |
P21
|
FINISHED |
| Object | California state prison hospital |
—
|
NE NERFINISHED |
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: California state prison hospital | Statement: [State of California v. Robert Durst, defendantDeathLocation, California state prison hospital]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: defendantDeathLocation Context triple: [State of California v. Robert Durst, defendantDeathLocation, California state prison hospital]
-
A.
defendantLocation
Indicates the place or jurisdiction where the defendant is located or resides in relation to a legal matter.
-
B.
placeOfDeath
chosen
Indicates the location where an entity (typically a person or animal) died.
-
C.
residenceAtDeath
Indicates the place where an individual was living at the time of their death.
-
D.
placeOfCessation
Indicates the location where an entity’s existence, activity, or state comes to an end.
-
E.
perpetratorDiedAtScene
Indicates that the perpetrator died at the location where the incident or event took place.
- 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_69efd6b253888190b3c7222ed6a403a8 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f6b903538481909cffcb6cc1cc0e70 |
completed | May 3, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69f6b626120c819097c9ad04487570d7 |
completed | May 3, 2026, 2:42 a.m. |
Created at: April 28, 2026, 1:43 a.m.