Triple
T15971639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tony Cox |
E387337
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Date Movie |
E1156807
|
NE FINISHED |
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: Date Movie | Statement: [Tony Cox, appearedIn, Date Movie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Date Movie Context triple: [Tony Cox, appearedIn, Date Movie]
-
A.
Date Movie
chosen
Date Movie is a 2006 parody film that satirizes popular romantic comedies through broad slapstick and pop-culture references.
-
B.
The Movies
The Movies is a simulation video game that lets players run a Hollywood film studio, managing production, stars, and the creation of custom movies.
-
C.
YTS
YTS is the IATA airport code for Timmins Victor M. Power Airport, a regional airport serving the city of Timmins in Ontario, Canada.
-
D.
At the Movies
At the Movies was an Australian film review television program best known for its long-running co-hosts Margaret Pomeranz and David Stratton, who offered in-depth critiques and discussions of new cinema releases.
-
E.
At the Movies
At the Movies was a long-running American film review television program, best known for featuring critics like Roger Ebert who popularized the "thumbs up/thumbs down" style of movie criticism.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da94ccc819083d187f5dc6a123e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15729d73c8190a4140a0e55ee2566 |
completed | April 16, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffe46d180c81909be66f628d1bdf72 |
completed | May 10, 2026, 1:50 a.m. |
Created at: April 10, 2026, 4:54 a.m.