Triple
T11176271
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | LSST Camera |
E264420
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Vera C. Rubin |
E7509
|
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: Vera C. Rubin | Statement: [LSST Camera, associatedWith, Vera C. Rubin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vera C. Rubin Context triple: [LSST Camera, associatedWith, Vera C. Rubin]
-
A.
Vera Rubin
chosen
Vera Rubin was an American astronomer whose pioneering work on galaxy rotation curves provided key evidence for the existence of dark matter.
-
B.
Sandra Faber
Sandra Faber is an influential American astronomer and cosmologist renowned for her work on galaxy formation, dark matter, and the Faber–Jackson relation.
-
C.
Sandra Jo Tinsley
Sandra Jo Tinsley is best known as the wife of American actor Forrest Tucker, a popular film and television star active from the 1940s through the 1970s.
-
D.
Margaret Burbidge
Margaret Burbidge was a pioneering British-American astrophysicist whose work on stellar nucleosynthesis and quasars helped transform modern astronomy and cosmology.
-
E.
Maret Einasto
Maret Einasto is an Estonian politician known for her involvement in national and local governance.
- 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_69d6aa9dafac8190bd90d2c74f661aa7 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8987e1081909b28a0bdb866beae |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4838f19388190af6fde7d4275ce2a |
completed | April 19, 2026, 7:26 a.m. |
Created at: April 8, 2026, 9:29 p.m.