Triple
T6159107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lee Thompson Young |
E137395
|
entity |
| Predicate | playedCharacter |
P1507
|
FINISHED |
| Object |
Chris Comer
Chris Comer is a fictional character portrayed by actor Lee Thompson Young, best known from his work in American television.
|
E573481
|
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: Chris Comer | Statement: [Lee Thompson Young, playedCharacter, Chris Comer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Comer Context triple: [Lee Thompson Young, playedCharacter, Chris Comer]
-
A.
Jameson Nantz
Jameson Nantz is the son of renowned American sportscaster Jim Nantz.
-
B.
Mark Breland
Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
-
C.
Buzz Feitshans
Buzz Feitshans is an American film producer best known for his work on action films of the 1970s and 1980s, including collaborations with Sylvester Stallone.
-
D.
Matt O’Brien
Matt O’Brien is a music producer known for his work on Kid Rock’s breakthrough album "Devil Without a Cause."
-
E.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
- 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: Chris Comer Triple: [Lee Thompson Young, playedCharacter, Chris Comer]
Generated description
Chris Comer is a fictional character portrayed by actor Lee Thompson Young, best known from his work in American television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Comer Target entity description: Chris Comer is a fictional character portrayed by actor Lee Thompson Young, best known from his work in American television.
-
A.
Jameson Nantz
Jameson Nantz is the son of renowned American sportscaster Jim Nantz.
-
B.
Mark Breland
Mark Breland is an American former professional boxer and 1984 Olympic gold medalist in the welterweight division, later known as a respected boxing trainer.
-
C.
Buzz Feitshans
Buzz Feitshans is an American film producer best known for his work on action films of the 1970s and 1980s, including collaborations with Sylvester Stallone.
-
D.
Matt O’Brien
Matt O’Brien is a music producer known for his work on Kid Rock’s breakthrough album "Devil Without a Cause."
-
E.
Josh Bryant
Josh Bryant is an American musician and guitarist best known as the husband of Broadway and television star Kristin Chenoweth.
- 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_69c008a54fc88190b6ce4416490ca79d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d3445dc8190822954cee90f0dd7 |
completed | March 22, 2026, 9:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1419064a48190880005459c86322c |
completed | March 23, 2026, 1:35 p.m. |
| NEDg | Description generation | batch_69c145afb0d48190b23248f2a7d511de |
completed | March 23, 2026, 1:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c146374a108190a0e1909afafd40b6 |
completed | March 23, 2026, 1:55 p.m. |
Created at: March 22, 2026, 4:17 p.m.