Triple
T3993113
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vicious |
E87037
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Gary Reich |
E404194
|
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: Gary Reich | Statement: [Vicious, producer, Gary Reich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gary Reich Context triple: [Vicious, producer, Gary Reich]
-
A.
Gary Reich
chosen
Gary Reich is a television producer best known for his work on the British comedy series "Vicious."
-
B.
Arnie Risen
Arnie Risen was an American professional basketball center and Naismith Memorial Basketball Hall of Famer who starred in the early NBA, winning championships with the Rochester Royals and Boston Celtics.
-
C.
Johnny Rosenblatt
Johnny Rosenblatt was a longtime Omaha, Nebraska mayor and civic leader best known for his role in bringing and supporting professional and collegiate baseball to the city.
-
D.
Bill Schneider
Bill Schneider is a musician best known as a member of the punk rock band Pinhead Gunpowder.
-
E.
Gary Janetti
Gary Janetti is an American television writer, producer, and satirist known for his sharp, acerbic humor on shows like "Will & Grace" and "Family Guy" as well as his popular social media commentary.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa1d9d8c8190982d092a73d38564 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c50f348819090ebfd8b5192c819 |
completed | March 14, 2026, 11:53 a.m. |
Created at: March 9, 2026, 3:33 p.m.