Triple
T32845324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black September |
E840082
|
entity |
| Predicate | killedInKhartoumAttack |
P153760
|
FINISHED |
| Object | U.S. Ambassador to Sudan Cleo A. Noel Jr. |
—
|
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: U.S. Ambassador to Sudan Cleo A. Noel Jr. | Statement: [Black September, killedInKhartoumAttack, U.S. Ambassador to Sudan Cleo A. Noel Jr.]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: killedInKhartoumAttack Context triple: [Black September, killedInKhartoumAttack, U.S. Ambassador to Sudan Cleo A. Noel Jr.]
-
A.
killedInAttack
chosen
Indicates that an entity died as a direct result of a specific attack event.
-
B.
deathInTerroristAttack
Indicates that an entity died as a direct result of a terrorist attack.
-
C.
opponentInKhartoum
Indicates that one entity is an opponent of another in the context of Khartoum (e.g., in a conflict, competition, or political struggle located there).
-
D.
casualtiesChadianKilled
Indicates that the relationship specifies the number of Chadian individuals who were killed as casualties in an event or conflict.
-
E.
wasAssassinatedIn
Indicates that an entity was killed in a deliberate, targeted assassination that occurred at a specific place or time.
- 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_69f3493ff0888190b51e974eae2a7834 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d16f5cb881908eed141afaaa0b51 |
completed | May 3, 2026, 4:39 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe45554819089cbbd538d992132 |
completed | May 3, 2026, 4:32 a.m. |
Created at: May 1, 2026, 1:16 a.m.