Triple
T11166674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amala |
E264175
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Kool Kojak |
E908682
|
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: Kool Kojak | Statement: [Amala, producer, Kool Kojak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kool Kojak Context triple: [Amala, producer, Kool Kojak]
-
A.
Kool Kojak
chosen
Kool Kojak is a Brazilian-American record producer and songwriter known for crafting pop and hip-hop hits for major artists across the 2010s and beyond.
-
B.
Kojak
Kojak is a 1970s American television crime drama series centered on the tough, lollipop-licking New York City detective Theo Kojak, played by Telly Savalas.
-
C.
Chopmaster J
Chopmaster J is an American hip hop producer and DJ best known as a founding member of the rap group Digital Underground.
-
D.
Kenickie
Kenickie is a tough, wisecracking member of the T-Birds gang and Danny Zuko’s best friend in the musical and film "Grease."
-
E.
Kool
Kool is a long-standing American menthol cigarette brand recognized for its distinctive marketing and association with menthol smoking.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e88843cc81909e503f0921c6d297 |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e483747ba88190aa6ef9df2545b18b |
completed | April 19, 2026, 7:25 a.m. |
Created at: April 8, 2026, 9:29 p.m.