Triple
T8639994
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chasing Amy |
E204620
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object |
Holden McNeil
Holden McNeil is a comic book artist and the introspective, romantically conflicted protagonist of Kevin Smith’s film "Chasing Amy."
|
E746547
|
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: Holden McNeil | Statement: [Chasing Amy, character, Holden McNeil]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Holden McNeil Context triple: [Chasing Amy, character, Holden McNeil]
-
A.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
-
B.
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.
-
C.
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.
-
D.
Tori Foles
Tori Foles is the wife of NFL quarterback Nick Foles and is known for her advocacy and openness about living with postural orthostatic tachycardia syndrome (POTS).
-
E.
George Pickens
George Pickens is an American football wide receiver in the NFL, known for his acrobatic catches and big-play ability.
- 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: Holden McNeil Triple: [Chasing Amy, character, Holden McNeil]
Generated description
Holden McNeil is a comic book artist and the introspective, romantically conflicted protagonist of Kevin Smith’s film "Chasing Amy."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Holden McNeil Target entity description: Holden McNeil is a comic book artist and the introspective, romantically conflicted protagonist of Kevin Smith’s film "Chasing Amy."
-
A.
Sam Bromell
Sam Bromell is a screenwriter best known for co-writing Baz Luhrmann’s 2022 biographical musical film "Elvis."
-
B.
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.
-
C.
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.
-
D.
Tori Foles
Tori Foles is the wife of NFL quarterback Nick Foles and is known for her advocacy and openness about living with postural orthostatic tachycardia syndrome (POTS).
-
E.
George Pickens
George Pickens is an American football wide receiver in the NFL, known for his acrobatic catches and big-play ability.
- 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_69ca834ca1c88190a11ffb0200342fac |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47650a14819094855aa8d062ebbc |
completed | March 31, 2026, 10:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebc340528819085c80b69d6d32a34 |
completed | April 2, 2026, 6:57 p.m. |
| NEDg | Description generation | batch_69cebcdb197881908eeb6c5e4b225a2c |
completed | April 2, 2026, 7 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebd85ad8481909518afd02dbc5358 |
completed | April 2, 2026, 7:03 p.m. |
Created at: March 30, 2026, 6:28 p.m.