Triple
T23470039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Take You There |
E569200
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object | Evan Bogart |
—
|
NE NERFINISHED |
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: Evan Bogart | Statement: [Take You There, writer, Evan Bogart]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Evan Bogart Context triple: [Take You There, writer, Evan Bogart]
-
A.
Evan Bogart
chosen
Evan Bogart is an American songwriter and music executive best known for penning hit pop and R&B songs for artists such as Beyoncé, Rihanna, and Britney Spears.
-
B.
Evan Burrows
Evan Burrows is a member of the band Wand, an American rock group known for its eclectic blend of psychedelic, garage, and experimental rock.
-
C.
Evan Wells
Evan Wells is a prominent video game executive best known as the longtime co-president of Naughty Dog, overseeing acclaimed franchises like Uncharted and The Last of Us.
-
D.
Evan Ross
Evan Ross is an American actor and musician, known for his film and television roles and as the son of legendary singer Diana Ross.
-
E.
Evan Buckley
Evan Buckley is a central firefighter character on the television drama "9-1-1," known for his bravery, impulsive nature, and emotionally driven storylines.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6ff8dc0819086961b1f07030d9c |
completed | April 29, 2026, 6:36 a.m. |
Created at: April 17, 2026, 5:54 p.m.