Triple
T27546732
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ara Zobayan |
E695382
|
entity |
| Predicate | roleInAccident |
P32122
|
FINISHED |
| Object | pilot in command of the 2020 Calabasas helicopter flight that crashed |
—
|
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: pilot in command of the 2020 Calabasas helicopter flight that crashed | Statement: [Ara Zobayan, roleInAccident, pilot in command of the 2020 Calabasas helicopter flight that crashed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAccident Context triple: [Ara Zobayan, roleInAccident, pilot in command of the 2020 Calabasas helicopter flight that crashed]
-
A.
involvedInAccident
chosen
Indicates that an entity participated in, was affected by, or was otherwise a party to a specific accident or collision event.
-
B.
hasModeOfTransportInAccident
Indicates that a specific mode of transport was involved in an accident associated with the given entity.
-
C.
positionDuringAccident
Indicates the spatial or situational position an entity occupied at the time an accident occurred.
-
D.
hasInjuredPerson
Indicates that an entity has a person who has been harmed or injured associated with it.
-
E.
injuredIn
Indicates that an entity sustained an injury as a result of a specified event, situation, or action.
- 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_69ef5386c3e08190bfe33aa326e1f72b |
completed | April 27, 2026, 12:16 p.m. |
| NER | Named-entity recognition | batch_69fd4129a8848190a5002150278ac689 |
completed | May 8, 2026, 1:49 a.m. |
| PD | Predicate disambiguation | batch_69fd3e0515ec8190937c7af71ebc3875 |
completed | May 8, 2026, 1:36 a.m. |
Created at: April 27, 2026, 1:33 p.m.