Triple
T10000398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIA Annex in Benghazi |
E197310
|
entity |
| Predicate | notableCasualtyAt |
P870
|
FINISHED |
| Object | Sean Smith |
E833902
|
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: Sean Smith | Statement: [CIA Annex in Benghazi, notableCasualtyAt, Sean Smith]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sean Smith Context triple: [CIA Annex in Benghazi, notableCasualtyAt, Sean Smith]
-
A.
Sean Smith
chosen
Sean Smith was an American information management officer and U.S. Foreign Service employee who was killed during the 2012 attack on the U.S. diplomatic compound in Benghazi, Libya.
-
B.
Charlie Smith
Charlie Smith is a fictional protagonist featured as the central character in a narrative work.
-
C.
Todd Smith
"Todd Smith" is a 2006 studio album by American rapper and actor LL Cool J, showcasing his blend of hip hop and R&B collaborations.
-
D.
Greg Smith
Greg Smith is a British Conservative Party politician who has served as the Member of Parliament for the Buckingham constituency.
-
E.
Nick Smith
Nick Smith is the doomed husband and diner owner whose murder becomes the central plot of the 1946 film noir "The Postman Always Rings Twice."
- 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_69ca82f3b61c81908ecc2c1c96dbc2e4 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdcc8dc9c081909b6d20909ada09cf |
completed | April 2, 2026, 1:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d26a36aadc81909978b71bdb3a6654 |
completed | April 5, 2026, 1:57 p.m. |
Created at: March 30, 2026, 8:51 p.m.