Triple
T22969742
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ross Thomas |
E571150
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Ross Thomas |
—
|
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: Ross Thomas | Statement: [Ross Thomas, name, Ross Thomas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ross Thomas Context triple: [Ross Thomas, name, Ross Thomas]
-
A.
Ross Thomas
chosen
Ross Thomas was an American novelist and screenwriter best known for his witty, politically charged crime and espionage thrillers.
-
B.
Ross Thomas
Ross Thomas is an American actor best known for his role in the inspirational biographical film "Soul Surfer."
-
C.
Bill Morrow
Bill Morrow was an American television and radio comedy writer best known for his work on major mid-20th-century variety and comedy programs.
-
D.
Sidney Lippman
Sidney Lippman was an American songwriter best known for co-writing the popular 1951 hit song "Too Young."
-
E.
Eugene Burdick
Eugene Burdick was an American political scientist, novelist, and co-author of influential Cold War-era political thrillers such as "Fail-Safe" and "The Ugly American."
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f18231459881909dd25a0630c494d8 |
completed | April 29, 2026, 3:59 a.m. |
Created at: April 17, 2026, 3:48 p.m.