Triple
T12115501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | StartUp |
E288547
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | Ben Ketai |
E965714
|
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: Ben Ketai | Statement: [StartUp, executiveProducer, Ben Ketai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Ketai Context triple: [StartUp, executiveProducer, Ben Ketai]
-
A.
Ben Ketai
chosen
Ben Ketai is an American writer, director, and producer best known for creating and directing the tech-crime drama series "StartUp."
-
B.
Ben Tey
Ben Tey is a specific Dogon language variety spoken by the Dogon people of Mali in West Africa.
-
C.
Jonathan Benassaya
Jonathan Benassaya is a French entrepreneur best known for co-founding the music streaming service Deezer.
-
D.
Ben Gashir
Ben Gashir is a district of Tripoli, Libya, situated near the city’s main international airport.
-
E.
James Seipei
James Seipei, better known as Stompie Seipei, was a South African teenage activist whose 1988 abduction and murder became one of the most notorious human rights abuse cases of the anti-apartheid struggle.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9156921dc8190aa132b0ab3a7c184 |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e46d588819086bfde1b544cab82 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:49 p.m.