Triple
T23169305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dale Earnhardt |
E578800
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Ironhead |
—
|
NE NERFINISHED |
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: Ironhead | Statement: [Dale Earnhardt, nickname, Ironhead]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ironhead Context triple: [Dale Earnhardt, nickname, Ironhead]
-
A.
Ironhead
Ironhead is the nickname of William "Ironhead" Miller, best known as the central character in the 1975 American football comedy film "The Longest Yard."
-
B.
Ironhead
"Ironhead" is a song best known for its association with the band Helmet, showcasing their heavy, riff-driven alternative metal style.
-
C.
Ironhead
chosen
Ironhead is the nickname of legendary American NASCAR driver Dale Earnhardt, renowned for his tough, aggressive racing style.
-
D.
Ironhead
Ironhead is a nickname commonly associated with tough, hard-hitting American football players, most famously former NFL running back Craig "Ironhead" Heyward.
-
E.
High on Fire
High on Fire is an American heavy metal band known for its aggressive, sludge-influenced sound and powerful, riff-driven songs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e245fc75348190a0288401044c8af8 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18f2e5e208190839ec37de4b974af |
completed | April 29, 2026, 4:55 a.m. |
Created at: April 17, 2026, 4:03 p.m.