Triple
T20024899
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Amityville Horror |
E494953
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Jay Anson |
—
|
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: Jay Anson | Statement: [The Amityville Horror, author, Jay Anson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jay Anson Context triple: [The Amityville Horror, author, Jay Anson]
-
A.
Jay Anson
chosen
Jay Anson was an American author best known for writing the purportedly true horror book "The Amityville Horror," which became a cultural phenomenon and inspired a long-running film franchise.
-
B.
Steven Ansell
Steven Ansell is a film editor known for his work on the feature film "She Wants Me."
-
C.
Jay Jopling
Jay Jopling is a prominent British art dealer and founder of the influential White Cube gallery, known for representing leading contemporary artists.
-
D.
Andrew Rennison
Andrew Rennison is a British public official known for serving as the inaugural Surveillance Camera Commissioner, overseeing the regulation and ethical use of CCTV and related surveillance technologies in the UK.
-
E.
Jeff Nathanson
Jeff Nathanson is an American screenwriter and film director best known for writing high-profile Hollywood films such as "Catch Me If You Can," "The Terminal," and Disney's live-action "The Lion King."
- 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_69da626bfd288190aa5d65098b6433ae |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6628b6b7c81909a660fbec9c92295 |
completed | April 20, 2026, 5:29 p.m. |
Created at: April 11, 2026, 3:35 p.m.