Triple
T3982485
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ed Hochuli |
E86790
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | Hoch |
E86790
|
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: Hoch | Statement: [Ed Hochuli, hasNickname, Hoch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoch Context triple: [Ed Hochuli, hasNickname, Hoch]
-
A.
Hoch
chosen
Hoch is the nickname of Ed Hochuli, a well-known former NFL referee recognized for his muscular physique and detailed penalty explanations.
-
B.
Hoche
Hoche is a Paris Métro station located in the northeastern suburb of Pantin, serving as a stop on the city’s Line 5.
-
C.
Hoher Markt
Hoher Markt is one of Vienna’s oldest squares, located in the historic Innere Stadt district and known for its Roman excavations, Ankeruhr clock, and central role in the city’s medieval marketplace life.
-
D.
Heissler
Heissler is a German-language surname most notably associated with the animated character Klaus Heissler from the television series "American Dad!".
-
E.
Hohe Acht
Hohe Acht is the highest peak in Germany’s Eifel region, known for its volcanic origins and panoramic views.
- 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_69aed93fd9d4819085d3b2137d2346cb |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aef9dd351c81909605bc2605f541e1 |
completed | March 9, 2026, 4:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b540257c188190899b00bf1d0247d2 |
completed | March 14, 2026, 11:01 a.m. |
Created at: March 9, 2026, 3:33 p.m.