Triple
T9316426
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stanford Leonard Smith |
E224132
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Stanford |
E232550
|
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: Stanford | Statement: [Stanford Leonard Smith, givenName, Stanford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stanford Context triple: [Stanford Leonard Smith, givenName, Stanford]
-
A.
Stanford
Stanford is a small town in Dutchess County, New York, known for its rural character and scenic Hudson Valley landscapes.
-
B.
Stanford
chosen
Stanford is a masculine given name, most commonly used as a first name in English-speaking countries.
-
C.
Standford
Standford is a small village located within the East Hampshire district of Hampshire in southern England.
-
D.
Stanford University
Stanford University is a prestigious private research university in the San Francisco Bay Area renowned for its academic excellence, innovation, and influence in technology and entrepreneurship.
-
E.
University of California, Berkeley
The University of California, Berkeley is a leading public research university renowned for its academic excellence, groundbreaking innovation, and historic role in social and political movements.
- 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_69ca8425f4fc81909c1c586e9a5b7530 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd35899b9081908bb0c310cc25722f |
completed | April 1, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0e3aa178881909e773e11c3892381 |
completed | April 4, 2026, 10:10 a.m. |
Created at: March 30, 2026, 7:37 p.m.