Triple
T5243916
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parlier |
E118411
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
John Parlier
John Parlier is the individual after whom the place or entity named Parlier is commemoratively named.
|
E523646
|
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: John Parlier | Statement: [Parlier, namedAfter, John Parlier]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Parlier Context triple: [Parlier, namedAfter, John Parlier]
-
A.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
B.
Brian Sipe
Brian Sipe is a former NFL quarterback best known for his MVP-winning 1980 season with the Cleveland Browns as leader of the "Kardiac Kids."
-
C.
Ron Feemster
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
D.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
-
E.
Chris Ridenhour
Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
- 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: John Parlier Triple: [Parlier, namedAfter, John Parlier]
Generated description
John Parlier is the individual after whom the place or entity named Parlier is commemoratively named.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Parlier Target entity description: John Parlier is the individual after whom the place or entity named Parlier is commemoratively named.
-
A.
Tim Latta
Tim Latta is a soccer executive best known for serving as the general manager of the early Major League Soccer club Kansas City Wiz (now Sporting Kansas City).
-
B.
Brian Sipe
Brian Sipe is a former NFL quarterback best known for his MVP-winning 1980 season with the Cleveland Browns as leader of the "Kardiac Kids."
-
C.
Ron Feemster
Ron Feemster is a music producer known for his work on the album "Afrodisiac."
-
D.
Michael Potts
Michael Potts is an American actor known for his work in film, television, and theater, including notable roles in projects like "The Wire," "True Detective," and various Broadway productions.
-
E.
Chris Ridenhour
Chris Ridenhour is a film composer known for scoring numerous low-budget genre movies, including works produced by The Asylum.
- 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_69bd4468aacc8190a8196f71855cdf4f |
completed | March 20, 2026, 12:58 p.m. |
| NER | Named-entity recognition | batch_69bd7b4da7308190856cdcee9cca41eb |
completed | March 20, 2026, 4:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf486fb3f48190a07829bcb9d0f521 |
completed | March 22, 2026, 1:39 a.m. |
| NEDg | Description generation | batch_69bf64fb8df481908efa5b04064ccefa |
completed | March 22, 2026, 3:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf658bcdf48190b6ce8516ede54816 |
completed | March 22, 2026, 3:44 a.m. |
Created at: March 20, 2026, 1:49 p.m.