Triple
T7332360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Keenan |
E169033
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Iron Mike |
E169033
|
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: Iron Mike | Statement: [Mike Keenan, nickname, Iron Mike]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iron Mike Context triple: [Mike Keenan, nickname, Iron Mike]
-
A.
Iron Mike
Iron Mike is the ferocious, hard-punching boxing persona of Mike Tyson, famed for his explosive power and intimidating presence in the ring.
-
B.
Iron Mike
chosen
Iron Mike is the nickname of Mike Keenan, a famously intense and hard-driving former NHL head coach known for his demanding coaching style and success behind the bench.
-
C.
Iron Mike
Iron Mike is the nickname of Mike Ditka, the Hall of Fame tight end and Super Bowl–winning head coach best known for leading the Chicago Bears.
-
D.
Samurai Mike
Samurai Mike is the nickname of Mike Singletary, a Hall of Fame NFL linebacker renowned for his intense, hard-hitting play and leadership with the Chicago Bears in the 1980s.
-
E.
Muscle Man
Muscle Man is a loud, overweight, green-skinned groundskeeper known for his crude humor and "my mom" jokes in the animated series Regular Show.
- 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_69c68a568a6481908f11e20db7bc8446 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0bf93dc8190931c13865ba827dd |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7ef1ac84c819095f03cf731f11c01 |
completed | March 28, 2026, 3:09 p.m. |
Created at: March 27, 2026, 3:03 p.m.