Triple
T20734810
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Goldenberg |
E509670
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Harry O |
—
|
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: Harry O | Statement: [Billy Goldenberg, notableWork, Harry O]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry O Context triple: [Billy Goldenberg, notableWork, Harry O]
-
A.
Harry O
chosen
Harry O is a 1970s American television crime drama series centered on a private investigator, noted for its character-driven storytelling and realistic tone.
-
B.
Tom Potter
Tom Potter is the husband of American actress Monica Potter, known for her roles in films like "Patch Adams" and the TV series "Parenthood."
-
C.
Harry Lockhart
Harry Lockhart is a small-time thief-turned-accidental actor who narrates and bumbles his way through a darkly comic murder mystery in the film "Kiss Kiss Bang Bang."
-
D.
Harry Black
Harry Black is a film associated with Indian actor, director, and satirist I. S. Johar, reflecting his work in mid-20th-century cinema.
-
E.
Clarkson Potter
Clarkson Potter is a prominent American publishing imprint known for its high-quality cookbooks, lifestyle, and design titles.
- 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_69e0b4c589c08190834fb5d86d0efa2b |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c209348c819084a2f35f36378680 |
completed | April 21, 2026, 12:17 a.m. |
Created at: April 16, 2026, 12:31 p.m.