Triple
T22496203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bluntman and Chronic |
E556146
|
entity |
| Predicate | publisherInFiction |
P18285
|
FINISHED |
| Object | Holden McNeil |
—
|
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: Holden McNeil | Statement: [Bluntman and Chronic, publisherInFiction, Holden McNeil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holden McNeil Context triple: [Bluntman and Chronic, publisherInFiction, Holden McNeil]
-
A.
Holden McNeil
chosen
Holden McNeil is a comic book artist and the introspective, romantically conflicted protagonist of Kevin Smith’s film "Chasing Amy."
-
B.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
-
C.
Emile Haynie
Emile Haynie is a Grammy-winning American record producer known for his work with artists such as Kanye West, Lana Del Rey, and Eminem.
-
D.
Jalen McDaniels
Jalen McDaniels is an American professional basketball player and versatile forward known for his collegiate career at San Diego State before entering the NBA.
-
E.
Dakota Meyer
Dakota Meyer is a former United States Marine and Medal of Honor recipient recognized for his heroism during the Battle of Ganjgal in Afghanistan.
- 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_69e11e5445bc8190b6a9481926db3355 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15cb2644c819094864bd88bcebcbd |
completed | April 29, 2026, 1:19 a.m. |
Created at: April 16, 2026, 8:50 p.m.