Triple
T13181468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muggsy |
E313737
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Muggsy |
E313737
|
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: Muggsy | Statement: [Muggsy, nickname, Muggsy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muggsy Context triple: [Muggsy, nickname, Muggsy]
-
A.
Muggsy
chosen
Muggsy is the nickname of Tyrone "Muggsy" Bogues, the famously undersized NBA point guard known for his exceptional quickness and playmaking.
-
B.
Muggsy
Muggsy is the famous nickname of Hall of Fame Major League Baseball manager John McGraw, known for his fiery temperament and long tenure leading the New York Giants.
-
C.
Muggsy Spanier
Muggsy Spanier was an American jazz cornetist and bandleader known for his influential role in Chicago-style Dixieland jazz.
-
D.
Boston Russell
Boston Russell is the son of American actor Kurt Russell and is known primarily for his connection to the Russell–Hawn family in Hollywood.
-
E.
Parker Bagley
Parker Bagley is an American actor best known for his roles in teen-oriented films and television series, including the comedy movie "Detention."
- 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_69d806ae1e08819090d95bfe1538cc17 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98c490ed081908ea54edb25c3de90 |
completed | April 10, 2026, 11:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5ee66188190afb75a598a2f8211 |
completed | May 3, 2026, 7:14 a.m. |
Created at: April 9, 2026, 9:14 p.m.