Triple
T4141920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | D. E. Shaw & Co. |
E89289
|
entity |
| Predicate | notableAlumnus |
P304
|
FINISHED |
| Object | Tony James |
E1841
|
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: Tony James | Statement: [D. E. Shaw & Co., notableAlumnus, Tony James]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tony James Context triple: [D. E. Shaw & Co., notableAlumnus, Tony James]
-
A.
Tony James
chosen
Tony James is an American financier and executive best known as the longtime president and chief operating officer of Blackstone and for his leadership roles at major cultural institutions.
-
B.
Tony James
Tony James is a person known primarily as the husband of Amabel James.
-
C.
Anthony Rogers
Anthony Rogers is the original name of the science fiction hero later known as Buck Rogers, a World War I veteran who awakens in a technologically advanced future.
-
D.
Tony Ryan
Tony Ryan was an Irish businessman best known as the co-founder of Ryanair and a key figure in the development of low-cost air travel in Europe.
-
E.
Andrew Robinson
Andrew Robinson is an American actor best known for his roles in films like "Dirty Harry" and the TV series "Star Trek: Deep Space Nine."
- 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_69aed95785788190ae75bcf0cd1cafdf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af024b8fe4819098e8f393474363c8 |
completed | March 9, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f2e787881908a9721877b0fd4ae |
completed | March 14, 2026, 3:30 p.m. |
Created at: March 9, 2026, 3:43 p.m.