Triple
T2962698
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orcus |
E80084
|
entity |
| Predicate | discoveredBy |
P412
|
FINISHED |
| Object | David Rabinowitz |
E214621
|
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: David Rabinowitz | Statement: [Orcus, discoveredBy, David Rabinowitz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Rabinowitz Context triple: [Orcus, discoveredBy, David Rabinowitz]
-
A.
David L. Rabinowitz
chosen
David L. Rabinowitz is an American astronomer known for his role in the discovery of several trans-Neptunian objects and dwarf planets, including Eris.
-
B.
Benjamin Rapoport
Benjamin Rapoport is a neurosurgeon and entrepreneur best known as one of the co-founders of the brain–computer interface company Neuralink.
-
C.
Irving Brecher
Irving Brecher was an American screenwriter best known for his work on Marx Brothers comedies and classic Hollywood films of the 1930s and 1940s.
-
D.
Samuel Rubin
Samuel Rubin was a philanthropist and businessman best known for founding the Samuel Rubin Foundation, which supported social justice, peace, and human rights initiatives.
-
E.
Andrew Rabinovich
Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
- 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_69ad8b1341848190bd19dbf46892887d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9955e6488190bea170724d5fbfe8 |
completed | March 8, 2026, 3:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4dae657ec81909e8a99e4ccd95bfc |
completed | March 14, 2026, 3:49 a.m. |
Created at: March 8, 2026, 2:57 p.m.