Triple
T9024615
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frank Howard |
E216013
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Hondo |
E33827
|
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: Hondo | Statement: [Frank Howard, nickname, Hondo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hondo Context triple: [Frank Howard, nickname, Hondo]
-
A.
Hondo
chosen
Hondo is the nickname of John Havlicek, a Hall of Fame Boston Celtics swingman renowned for his versatility, stamina, and clutch performances in the NBA.
-
B.
Pancho
Pancho is a common Spanish nickname typically used as a familiar or affectionate form of the given name Francisco.
-
C.
Butch
Butch is the nickname of Butch van Breda Kolff, an American basketball coach and former player known for his tenure in college and professional basketball.
-
D.
Butch
Butch is the nickname of Jackie "Butch" Jenkins, a popular American child film actor of the 1940s known for his natural, unpolished performances.
-
E.
Butch
Butch was the nickname of Edward "Butch" O'Hare, a famed U.S. Navy fighter pilot and Medal of Honor recipient in World War II.
- 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_69ca83a5fa88819088144801b4dd7245 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6a7b902c81909fcbdc433a1acf7a |
completed | April 1, 2026, 12:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfdbbcaedc819084f8b057fbfcb0e7 |
completed | April 3, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:07 p.m.