Triple
T2248457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Art Monk |
E49560
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Art Monk |
E8751
|
NE FINISHED |
How this triple was built (2 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: Art Monk | Statement: [Art Monk, nickname, Art Monk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Art Monk Context triple: [Art Monk, nickname, Art Monk]
-
A.
Art Monk
chosen
Art Monk is a Hall of Fame former NFL wide receiver best known for his prolific pass-catching career with Washington’s football team in the 1980s and early 1990s.
-
B.
Franco Harris
Franco Harris was a Hall of Fame NFL running back best known for his role in the Pittsburgh Steelers’ 1970s dynasty and the iconic “Immaculate Reception.”
-
C.
Sidney Moncrief
Sidney Moncrief is a Hall of Fame American basketball guard renowned for his elite defense and all-around play during the 1980s NBA era.
-
D.
Lynn Swann
Lynn Swann is a former American football wide receiver, best known as a Pro Football Hall of Famer and four-time Super Bowl champion with the Pittsburgh Steelers.
-
E.
Ronde Barber
Ronde Barber is a former NFL cornerback renowned for his long, standout career with the Tampa Bay Buccaneers, where he became one of the league’s most productive and durable defensive backs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ed5c38819080b45ea398fb59f2 |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71c1edd081909acbb8b1915ce0d6 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:47 p.m.