Triple
T11577919
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earl Browder |
E274552
|
entity |
| Predicate | child |
P120
|
FINISHED |
| Object | Andrew Browder |
E494115
|
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: Andrew Browder | Statement: [Earl Browder, child, Andrew Browder]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andrew Browder Context triple: [Earl Browder, child, Andrew Browder]
-
A.
Andrew Browder
chosen
Andrew Browder was an American mathematician known for his contributions to functional analysis and complex analysis, as well as for his influential textbooks in these fields.
-
B.
Ken Rudin
Ken Rudin is a technology executive and entrepreneur best known for his leadership role in founding the enterprise software company Siebel Systems.
-
C.
Israel Mattuck
Israel Mattuck was a prominent early 20th-century British Reform rabbi and religious leader who played a key role in establishing Liberal Judaism in the United Kingdom.
-
D.
Robin Hartshorne
Robin Hartshorne is an American mathematician renowned for his influential work in algebraic geometry and for authoring the classic graduate textbook "Algebraic Geometry."
-
E.
Peter Lax
Peter Lax is a Hungarian-American mathematician renowned for his fundamental contributions to partial differential equations, numerical analysis, and fluid dynamics.
- 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8904b46288190890ecafd6ceb0c3d |
completed | April 10, 2026, 5:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e714080a60819095205355776c8637 |
completed | April 21, 2026, 6:07 a.m. |
Created at: April 8, 2026, 9:38 p.m.