Triple
T10304259
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Diggstown |
E241710
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Don Zimmerman |
E109534
|
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: Don Zimmerman | Statement: [Diggstown, editedBy, Don Zimmerman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Don Zimmerman Context triple: [Diggstown, editedBy, Don Zimmerman]
-
A.
Don Zimmerman
chosen
Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
-
B.
Dean Zimmerman
Dean Zimmerman is an American film editor known for his work on major Hollywood action and science-fiction films.
-
C.
Henry Zimmerman
Henry Zimmerman, better known as Heinie Zimmerman, was an early 20th-century American Major League Baseball player noted for his strong hitting and controversial role in a game-fixing scandal.
-
D.
John Zinman
John Zinman is a film and television screenwriter best known for co-writing the action-adventure movie "Lara Croft: Tomb Raider."
-
E.
Paul Zimmerer
Paul Zimmerer was an American entrepreneur best known as the founder of Lindsay Corporation, a major manufacturer of agricultural irrigation and infrastructure equipment.
- 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_69d381ac38808190a8ca7457c85b625b |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d308f034819098da69b963eb8a02 |
completed | April 7, 2026, 9:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d9336139088190bd9ea3e2333c59cb |
completed | April 10, 2026, 5:29 p.m. |
Created at: April 6, 2026, 11:45 a.m.