Triple
T19743790
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mitch Goldhar |
E474198
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mitch Goldhar |
—
|
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: Mitch Goldhar | Statement: [Mitch Goldhar, name, Mitch Goldhar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mitch Goldhar Context triple: [Mitch Goldhar, name, Mitch Goldhar]
-
A.
Mitch Goldhar
chosen
Mitch Goldhar is a Canadian billionaire real estate developer and businessman best known for owning the Israeli football club Maccabi Tel Aviv F.C.
-
B.
Martin Goldstein
Martin Goldstein, nicknamed "Buggsy," was an American mobster and hitman associated with Murder, Inc. during the 1930s and 1940s.
-
C.
Gil Goldschein
Gil Goldschein is a television producer and media executive best known for his work on reality TV series, including projects in the Kardashian franchise.
-
D.
Steven Goldmann
Steven Goldmann was a Canadian music video and film director best known for his prolific work in country music videos during the 1990s and 2000s.
-
E.
Mark Goldenberg
Mark Goldenberg is an American guitarist, songwriter, and composer known for his session work and film score contributions.
- 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_69d8e51940a0819087bd2996f98da668 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65162f0f88190b652fff01ee23090 |
completed | April 20, 2026, 4:16 p.m. |
Created at: April 10, 2026, 1:47 p.m.