Triple
T21600337
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fitch |
E533020
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Val Fitch |
—
|
NE NERFINISHED |
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: Val Fitch | Statement: [Fitch, hasNotableBearer, Val Fitch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Val Fitch Context triple: [Fitch, hasNotableBearer, Val Fitch]
-
A.
Val Fitch
chosen
Val Fitch was an American nuclear physicist and Nobel laureate renowned for his co-discovery of CP violation in the decay of neutral K-mesons, a finding that profoundly influenced particle physics and cosmology.
-
B.
Robert N. Fitch
Robert N. Fitch was a composer best known for writing the University of California fight song "Fight for California."
-
C.
Moe Dalitz
Moe Dalitz was an American mobster and businessman known for his key role in developing Las Vegas’s casino industry and his leadership within organized crime.
-
D.
Frank Losee
Frank Losee was an American stage and silent film actor active in the early 20th century.
-
E.
William Lawrence
William Lawrence was a key figure in public health history, recognized as one of the founders of what became the American Cancer Society, a leading organization dedicated to cancer research, education, and patient support.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e12fdc8190ab6125ea8d294717 |
completed | April 27, 2026, 8:01 a.m. |
Created at: April 16, 2026, 6:32 p.m.