Triple
T5115760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Kalief Browder Story |
E115329
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Jenner Furst |
E494118
|
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: Jenner Furst | Statement: [The Kalief Browder Story, director, Jenner Furst]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jenner Furst Context triple: [The Kalief Browder Story, director, Jenner Furst]
-
A.
Jenner Furst
chosen
Jenner Furst is an American documentary filmmaker and producer known for creating socially conscious, true-crime and justice-focused series such as the docuseries about Kalief Browder.
-
B.
Jenner
Jenner is a surname most famously associated with Edward Jenner, the English physician who pioneered the smallpox vaccine and laid the foundation for modern immunology.
-
C.
Jenner
Jenner is a prominent American family name best known for its association with the Kardashian–Jenner reality television and business empire.
-
D.
Arabella Rose Kushner
Arabella Rose Kushner is the daughter of Ivanka Trump and Jared Kushner, known publicly as a member of the Trump family.
-
E.
Emily Dreyfuss
Emily Dreyfuss is an American journalist and writer known for her work on technology, politics, and digital culture for outlets such as WIRED and the Harvard Shorenstein Center.
- 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_69bd4441d1648190a54a533895041987 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd75ce6044819094166aebf0688665 |
completed | March 20, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bec3758bb4819082d5876c4dc9df8d |
completed | March 21, 2026, 4:12 p.m. |
Created at: March 20, 2026, 1:41 p.m.