Triple
T14285867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gruenbaum |
E354173
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Greenbaum |
E867681
|
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: Greenbaum | Statement: [Gruenbaum, hasVariant, Greenbaum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenbaum Context triple: [Gruenbaum, hasVariant, Greenbaum]
-
A.
Greenberg
Greenberg is a 2010 indie dramedy film directed by Noah Baumbach and starring Ben Stiller as a troubled man reevaluating his life while housesitting in Los Angeles.
-
B.
Greenberg
Greenberg is a common Ashkenazi Jewish surname borne by numerous notable figures in fields such as law, arts, politics, and academia.
-
C.
Gruenbaum
Gruenbaum is a Jewish family name most notably associated with Yitzhak Gruenbaum, a prominent Zionist leader and Israeli politician.
-
D.
Greenlaw
Greenlaw is a small historic town in the Scottish Borders that once served as the county town of Berwickshire.
-
E.
Mutz Greenbaum
chosen
Mutz Greenbaum was a prominent German-born cinematographer known for his influential work in British cinema during the early to mid-20th century.
- 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_69d8278e17088190b328c5a9d4be74ff |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de697ef40c8190bea37724b28c2e99 |
completed | April 14, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3d1c4d988190b595e6a33ef96c28 |
completed | May 8, 2026, 1:32 a.m. |
Created at: April 10, 2026, 1:11 a.m.