Triple
T22547291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sam Fisher |
E557460
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Tom Clancy |
—
|
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: Tom Clancy | Statement: [Sam Fisher, creator, Tom Clancy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Clancy Context triple: [Sam Fisher, creator, Tom Clancy]
-
A.
Tom Clancy
chosen
Tom Clancy was a bestselling American novelist renowned for his detailed military and espionage thrillers such as "The Hunt for Red October" and the Jack Ryan series.
-
B.
Tom Clancy
Tom Clancy was an Irish folk singer best known as a founding member of the influential group The Clancy Brothers, which popularized Irish traditional music internationally in the mid-20th century.
-
C.
John Clancy
John Clancy was an American politician and public figure who attended Claverack College in New York.
-
D.
John Clancy
John Clancy is a theatre orchestrator best known for his work on the Broadway musical adaptation of "Mean Girls."
-
E.
John Clancy
John Clancy is a leading architect and key figure at the prominent Irish architectural firm Scott Tallon Walker Architects.
- 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_69e11e58662081909ae346ab384514ca |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15f366f208190abbc6eb4780b2d48 |
completed | April 29, 2026, 1:30 a.m. |
Created at: April 16, 2026, 8:52 p.m.