Triple
T7591367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philadelphia Soul |
E179741
|
entity |
| Predicate | formerHeadCoach |
P537
|
FINISHED |
| Object |
Doug Plank
Doug Plank is a former NFL safety for the Chicago Bears who later became a successful arena football coach.
|
E675335
|
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: Doug Plank | Statement: [Philadelphia Soul, formerHeadCoach, Doug Plank]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Doug Plank Context triple: [Philadelphia Soul, formerHeadCoach, Doug Plank]
-
A.
Jon Plowman
Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
-
B.
Sean Plaice
Sean Plaice is an entrepreneur best known as a co-founder of the on-demand delivery service Postmates.
-
C.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
-
D.
Dan Jinks
Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
-
E.
Gregg Palmer
Gregg Palmer was an American character actor known for his rugged roles in Westerns and mid-20th-century Hollywood films.
- 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: Doug Plank Triple: [Philadelphia Soul, formerHeadCoach, Doug Plank]
Generated description
Doug Plank is a former NFL safety for the Chicago Bears who later became a successful arena football coach.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Doug Plank Target entity description: Doug Plank is a former NFL safety for the Chicago Bears who later became a successful arena football coach.
-
A.
Jon Plowman
Jon Plowman is a British television producer best known for his influential work on BBC comedies, including series such as Absolutely Fabulous and The Office.
-
B.
Sean Plaice
Sean Plaice is an entrepreneur best known as a co-founder of the on-demand delivery service Postmates.
-
C.
Matt Wolpert
Matt Wolpert is a television writer and producer best known for co-creating the alternate-history space drama series "For All Mankind."
-
D.
Dan Jinks
Dan Jinks is an American film and television producer best known for acclaimed movies such as "American Beauty" and "Big Fish."
-
E.
Gregg Palmer
Gregg Palmer was an American character actor known for his rugged roles in Westerns and mid-20th-century Hollywood films.
- 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_69c69f335248819093c1006f30513708 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f9b746ac8190b255afdfb9635f72 |
completed | March 27, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86192b5d88190b0a02cf303462bfb |
completed | March 28, 2026, 11:17 p.m. |
| NEDg | Description generation | batch_69c8628d252c8190bc67e90f497f1ada |
completed | March 28, 2026, 11:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8631e5c2c8190b1c593ca9bbf039c |
completed | March 28, 2026, 11:24 p.m. |
Created at: March 27, 2026, 3:53 p.m.