Triple
T9699435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Muffet McGraw |
E234736
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Muffet |
E234736
|
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: Muffet | Statement: [Muffet McGraw, nickname, Muffet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Muffet Context triple: [Muffet McGraw, nickname, Muffet]
-
A.
Muffet McGraw
chosen
Muffet McGraw is a Hall of Fame women’s basketball coach best known for leading the University of Notre Dame to multiple NCAA championships and national prominence over several decades.
-
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
Muggsy is the nickname of Tyrone "Muggsy" Bogues, the famously undersized NBA point guard known for his exceptional quickness and playmaking.
-
D.
Mashburn
Mashburn is a surname most prominently associated with former NBA All-Star basketball player Jamal Mashburn.
-
E.
Rachel Auerbach
Rachel Auerbach was a Polish-Jewish writer, journalist, and Holocaust survivor known for documenting life in the Warsaw Ghetto and later helping preserve and interpret the Ringelblum Archive.
- 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_69ca84cb580c8190a7e5f4b3bcdaf2a4 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9d3d425c8190b652d84186b5ce9f |
completed | April 1, 2026, 10:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1912a551c8190bd6b48790f117f71 |
completed | April 4, 2026, 10:31 p.m. |
Created at: March 30, 2026, 8:18 p.m.