Triple
T11166549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Planet Her |
E264173
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Kool Kojak
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.
|
E908682
|
NE FINISHED |
How this triple was built (4 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: [Planet Her, producer, Kool Kojak]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kool Kojak Context triple: [Planet Her, producer, Kool Kojak]
-
A.
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.
-
B.
Chopmaster J
Chopmaster J is an American hip hop producer and DJ best known as a founding member of the rap group Digital Underground.
-
C.
Kenickie
Kenickie is a tough, wisecracking member of the T-Birds gang and Danny Zuko’s best friend in the musical and film "Grease."
-
D.
Kool
Kool is a long-standing American menthol cigarette brand recognized for its distinctive marketing and association with menthol smoking.
-
E.
American Koko
American Koko is a satirical mystery web series that follows a quirky private investigator navigating race, identity, and social awkwardness in modern America.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Kool Kojak Triple: [Planet Her, producer, Kool Kojak]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kool Kojak Target entity description: 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.
-
A.
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.
-
B.
Chopmaster J
Chopmaster J is an American hip hop producer and DJ best known as a founding member of the rap group Digital Underground.
-
C.
Kenickie
Kenickie is a tough, wisecracking member of the T-Birds gang and Danny Zuko’s best friend in the musical and film "Grease."
-
D.
Kool
Kool is a long-standing American menthol cigarette brand recognized for its distinctive marketing and association with menthol smoking.
-
E.
American Koko
American Koko is a satirical mystery web series that follows a quirky private investigator navigating race, identity, and social awkwardness in modern America.
- F. None of above. chosen
Provenance (5 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_69e463945e40819087c6bdbc322a6d54 |
completed | April 19, 2026, 5:09 a.m. |
| NEDg | Description generation | batch_69e46c37efec81908aa709587c37569d |
completed | April 19, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69e47292cdd08190b05c4c8b09f4f918 |
completed | April 19, 2026, 6:13 a.m. |
Created at: April 8, 2026, 9:29 p.m.