Triple
T9536621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Samuel Fisk |
E230032
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Samuel Fisk |
E230032
|
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: Samuel Fisk | Statement: [Samuel Fisk, name, Samuel Fisk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Samuel Fisk Context triple: [Samuel Fisk, name, Samuel Fisk]
-
A.
Samuel Fisk
chosen
Samuel Fisk is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Fisk.
-
B.
Roger Gage
Roger Gage is a British stage director known for his work in theatre and for having been married to acclaimed actress Joan Plowright.
-
C.
Frank Fisk
Frank Fisk is an individual notable enough to be recognized as a bearer of the surname Fisk.
-
D.
John Derbyshire
John Derbyshire is a British-born American writer and commentator known for his popular mathematics books and controversial political essays.
-
E.
Philip Brownstein
Philip Brownstein was a professional basketball coach best known for leading the early NBA-era Chicago Stags franchise.
- 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_69ca847b1b3081908f72bc932c17cc41 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd98ce884c8190a8b3c2dc7c73c2c9 |
completed | April 1, 2026, 10:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d14c4f1fc08190a1ad3d862717eef3 |
completed | April 4, 2026, 5:37 p.m. |
Created at: March 30, 2026, 8:01 p.m.