Triple
T18958851
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Caddy |
E463854
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Ben Lessy |
—
|
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: Ben Lessy | Statement: [The Caddy, hasCastMember, Ben Lessy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Lessy Context triple: [The Caddy, hasCastMember, Ben Lessy]
-
A.
Ben Lessy
chosen
Ben Lessy was an American character actor and comedian known for his supporting roles in mid-20th-century films and television.
-
B.
Ben Esler
Ben Esler is an Australian actor best known for his roles in television dramas and historical series, including a prominent part in the Western series "Hell on Wheels."
-
C.
Bryan Elsley
Bryan Elsley is a Scottish television writer and producer best known for co-creating the groundbreaking British teen drama series "Skins."
-
D.
Ben Lutch
Ben Lutch is an entrepreneur best known as the founder of the company Architext.
-
E.
Ben Lutch
Ben Lutch is an entrepreneur best known as a co-founder of the early internet search and web portal company Excite.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d057a48190b82b5788b3281e28 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon