Triple
T16599204
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Metzenbaum |
E403287
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Metzenbaum |
E403287
|
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: Metzenbaum | Statement: [Howard Metzenbaum, familyName, Metzenbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Metzenbaum Context triple: [Howard Metzenbaum, familyName, Metzenbaum]
-
A.
George Schneiderman
George Schneiderman was an early American cinematographer best known for helping establish the American Society of Cinematographers and contributing to the development of professional standards in the field.
-
B.
Kim Tannenbaum
Kim Tannenbaum is a television producer best known for her work on the hit sitcom "Two and a Half Men."
-
C.
Menachem Froman
Menachem Froman was an Israeli Orthodox rabbi and settler leader known for his unconventional advocacy of peace and dialogue with Palestinian and Islamist groups.
-
D.
Moses Suzman
Moses Suzman was the husband of prominent South African anti-apartheid politician Helen Suzman and a Johannesburg physician.
-
E.
Howard Metzenbaum
chosen
Howard Metzenbaum was a long-serving Democratic U.S. Senator from Ohio known for his strong advocacy of consumer protections, gun control, and progressive social legislation.
- 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_69d883880d0c81908b5fcd454e767b60 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e35d74738c81909711654cf38af150 |
completed | April 18, 2026, 10:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0075a226788190bfad73ffb6b32ec4 |
completed | May 10, 2026, 12:10 p.m. |
Created at: April 10, 2026, 5:16 a.m.