Triple
T20265519
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Hochuli |
E498956
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | Ed Hoch |
—
|
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: Ed Hoch | Statement: [Ed Hochuli, nickname, Ed Hoch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ed Hoch Context triple: [Ed Hochuli, nickname, Ed Hoch]
-
A.
Ed Hoch
chosen
Ed Hoch is a retired American NFL referee renowned for his muscular physique, detailed penalty explanations, and long tenure officiating high-profile games.
-
B.
Fred Schuler
Fred Schuler is a cinematographer best known for his work on films such as the 1980 comedy "Stir Crazy."
-
C.
Roger Horchow
Roger Horchow was an American catalog entrepreneur and Broadway producer known for founding the Horchow Collection and winning a Tony Award for his work in theater.
-
D.
Joseph Hoch
Joseph Hoch was a German lawyer and philanthropist best known for endowing the music school in Frankfurt that became the Hoch Conservatory.
-
E.
Ken Hirsch
Ken Hirsch is an American songwriter and composer known for co-writing numerous pop and R&B hits, including collaborations with prominent lyricists like Doc Pomus.
- 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_69da6275fa6c8190952924930adee150 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e674cf3d648190a0b0a7795045228a |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 11, 2026, 11:41 p.m.