Triple
T13672545
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Koffi Olomide |
E327784
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Attentat |
E321856
|
NE 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: Attentat | Statement: [Koffi Olomide, notableWork, Attentat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Attentat Context triple: [Koffi Olomide, notableWork, Attentat]
-
A.
Atacazo
Atacazo is a stratovolcano in the Andes of central Ecuador, located southwest of Quito and known for its prominent peak within the Cordillera Occidental range.
-
B.
Assassination
Assassination is a 2015 South Korean period action film set during the Japanese occupation, following Korean independence fighters as they plot to kill key pro-Japanese figures.
-
C.
Assassination Day
"Assassination Day" is a gritty, lyrically dense hip-hop track by Ghostface Killah featuring fellow Wu-Tang Clan members, known for its dark atmosphere and complex wordplay.
-
D.
Black September
Black September was a Palestinian militant organization known for carrying out the 1972 Munich Olympics massacre and other high-profile attacks in the early 1970s.
-
E.
L’Assaut
chosen
L’Assaut is a French film best known for featuring actress Rachida Brakni in a prominent role.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b1222648190a70f50e6e5c34593 |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.