Triple
T34640835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alec Trevelyan |
E889548
|
entity |
| Predicate | methodOfFakedDeath |
P62693
|
FINISHED |
| Object | staged execution at Arkhangelsk chemical weapons facility |
—
|
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: staged execution at Arkhangelsk chemical weapons facility | Statement: [Alec Trevelyan, methodOfFakedDeath, staged execution at Arkhangelsk chemical weapons facility]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: methodOfFakedDeath Context triple: [Alec Trevelyan, methodOfFakedDeath, staged execution at Arkhangelsk chemical weapons facility]
-
A.
fakedOwnDeath
chosen
Indicates that an entity deliberately staged or pretended their own death to deceive others.
-
B.
reasonForFakedDeath
Indicates the motive or justification behind an entity’s decision to fake or stage their own death.
-
C.
deathMethod
Indicates the specific way or means by which a death occurred.
-
D.
placeOfEvent_fakedDeath
Indicates the location where an event involving a faked or staged death took place.
-
E.
methodOfResurrection
Indicates the specific process or means by which an entity is brought back to life or restored from death.
- 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_69f349d724848190b63ad3407e0006d9 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f72ad38a208190b4bdc828297f86ad |
completed | May 3, 2026, 11 a.m. |
| PD | Predicate disambiguation | batch_69f72a0243988190a43b8ea22457cd30 |
completed | May 3, 2026, 10:57 a.m. |
Created at: May 1, 2026, 2:04 a.m.