Triple
T17123272
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paramount |
E415521
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Downey |
E148122
|
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: Downey | Statement: [Paramount, locatedNear, Downey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Downey Context triple: [Paramount, locatedNear, Downey]
-
A.
Downey
Downey is the surname of American actor Robert Downey Jr., widely known for his versatile film career and iconic role as Iron Man in the Marvel Cinematic Universe.
-
B.
Downey
chosen
Downey is a suburban city in southeastern Los Angeles County, California, known historically for its aerospace industry and as the birthplace of the Apollo space program.
-
C.
Norwood
Norwood is a residential neighborhood in the Bronx, New York City, known for its diverse community and proximity to Van Cortlandt Park.
-
D.
Norwood
Norwood is a small village located within Charlevoix County in the U.S. state of Michigan.
-
E.
Norwood
Norwood is a locality in South Africa situated near the town of Houghton, known primarily as a residential suburb.
- 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80b7e6881909f7635875549a2f1 |
completed | April 18, 2026, 8:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a013a1062fc8190b1c4e97f42cf3faa |
completed | May 11, 2026, 2:08 a.m. |
Created at: April 10, 2026, 5:36 a.m.