Triple
T20748872
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Helms |
E510663
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Helms |
—
|
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: Helms | Statement: [Bobby Helms, familyName, Helms]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helms Context triple: [Bobby Helms, familyName, Helms]
-
A.
Helms
chosen
Helms is the surname of American actor and comedian Ed Helms, known for his roles in The Office and The Hangover film series.
-
B.
Doak
Doak is a masculine given name most famously associated with American football star and Heisman Trophy winner Doak Walker.
-
C.
Tarkanian
Tarkanian is a surname most prominently associated with Jerry Tarkanian, the Hall of Fame college basketball coach known for his success at UNLV.
-
D.
Helms Foundation Hall of Fame
The Helms Foundation Hall of Fame was an early American sports hall of fame and awards program that honored outstanding athletes, coaches, and teams across multiple sports, particularly basketball.
-
E.
Tressel
Tressel is the surname of Jim Tressel, a prominent American college football coach best known for his successful tenure at Ohio State University.
- 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_69e0b4c845e88190b4c5f3ae79291182 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c228af288190a20829d45c034c24 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:34 p.m.