Triple
T21619710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Simon Richard D'Arcy |
E533542
|
entity |
| Predicate | portrayed |
P1668
|
FINISHED |
| Object | Tom Pullings |
—
|
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 Pullings | Statement: [Simon Richard D'Arcy, portrayed, Tom Pullings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Pullings Context triple: [Simon Richard D'Arcy, portrayed, Tom Pullings]
-
A.
Tom Pullings
chosen
Tom Pullings is a fictional Royal Navy officer and close protégé of Captain Jack Aubrey in Patrick O’Brian’s Aubrey–Maturin historical naval novels.
-
B.
Steven Pemberton
Steven Pemberton is a British computer scientist and software engineer known for his work on programming languages, web standards, and contributions to the development of ABC and early Python influences.
-
C.
Sam Pilling
Sam Pilling is a British director known for his visually inventive and narrative-driven music videos for prominent contemporary artists.
-
D.
Stephen Bull
Stephen Bull is a distinguished member of the Bull family, recognized for his prominence and contributions associated with this lineage.
-
E.
Phil Woolpert
Phil Woolpert was a prominent American college basketball coach best known for leading the University of San Francisco to multiple national championships in the 1950s.
- 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_69e0c464fba881908d0ff2ac80511ce1 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef3bad094c8190879d4aef7988254a |
completed | April 27, 2026, 10:34 a.m. |
Created at: April 16, 2026, 6:34 p.m.