Triple
T4845746
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Musselman |
E108285
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Musselman
Musselman is a surname most notably associated with American basketball coaches Bill Musselman and his son Eric Musselman.
|
E474328
|
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: Musselman | Statement: [Bill Musselman, familyName, Musselman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Musselman Context triple: [Bill Musselman, familyName, Musselman]
-
A.
Mullett
Mullett is a surname most notably associated with Alfred B. Mullett, a 19th-century American architect known for designing prominent federal buildings.
-
B.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
C.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
D.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
E.
Masterson
Masterson is a surname most famously associated with Bat Masterson, the Old West lawman, gambler, and sportswriter.
- 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: Musselman Triple: [Bill Musselman, familyName, Musselman]
Generated description
Musselman is a surname most notably associated with American basketball coaches Bill Musselman and his son Eric Musselman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Musselman Target entity description: Musselman is a surname most notably associated with American basketball coaches Bill Musselman and his son Eric Musselman.
-
A.
Mullett
Mullett is a surname most notably associated with Alfred B. Mullett, a 19th-century American architect known for designing prominent federal buildings.
-
B.
McCauley
McCauley is the maiden surname of Rosa Parks, the prominent American civil rights activist known for her pivotal role in the Montgomery bus boycott.
-
C.
Milhous
Milhous is the distinctive middle name of Richard Nixon, the 37th president of the United States.
-
D.
Keefer
Keefer was a distinguished racing greyhound renowned for its achievements on the track, earning induction into the Greyhound Hall of Fame.
-
E.
Masterson
Masterson is a surname most famously associated with Bat Masterson, the Old West lawman, gambler, and sportswriter.
- 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_69bd4409b264819085ab855f3eb5381a |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d020e5c8190aa9ceb4258e713c3 |
completed | March 20, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be5cd6dbcc8190b802eeb6d74fd37d |
completed | March 21, 2026, 8:54 a.m. |
| NEDg | Description generation | batch_69be5f154094819095e09e6a5627f7dc |
completed | March 21, 2026, 9:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be5f78eb7881908707f54b899e8dda |
completed | March 21, 2026, 9:06 a.m. |
Created at: March 20, 2026, 1:25 p.m.