Triple
T5709657
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elias Stein |
E125871
|
entity |
| Predicate | coAuthor |
P398
|
FINISHED |
| Object | Timothy S. Murphy |
E568356
|
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: Timothy S. Murphy | Statement: [Elias Stein, coAuthor, Timothy S. Murphy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Timothy S. Murphy Context triple: [Elias Stein, coAuthor, Timothy S. Murphy]
-
A.
Timothy S. Murphy
chosen
Timothy S. Murphy is a mathematician known for his work in analysis and for being a doctoral student of the influential analyst Elias Stein.
-
B.
Timothy P. Boyle
Timothy P. Boyle is an American businessman best known as the longtime president and CEO who led Columbia Sportswear’s growth into a major global outdoor apparel company.
-
C.
Michael D. McDonough
Michael D. McDonough is an American local government official who serves as the mayor of Raytown, Missouri.
-
D.
Timothy M. Burgess
Timothy M. Burgess is a United States federal judge who serves on the bench of the District of Alaska.
-
E.
Patrick E. Haggerty
Patrick E. Haggerty was an American engineer and business executive who played a pivotal role in the early semiconductor industry and the growth of Texas Instruments into a major technology company.
- 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_69c0082d6fe48190b777fb383769e5c8 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0248c3dac8190824fca9ddde89665 |
completed | March 22, 2026, 5:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c1353095c08190b07bcc1299ed7f20 |
completed | March 23, 2026, 12:42 p.m. |
Created at: March 22, 2026, 3:46 p.m.