Triple
T12530597
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | L'Appartement |
E299552
|
entity |
| Predicate | musicBy |
P1952
|
FINISHED |
| Object | Peter Chase |
E986259
|
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: Peter Chase | Statement: [L'Appartement, musicBy, Peter Chase]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Chase Context triple: [L'Appartement, musicBy, Peter Chase]
-
A.
Peter Chase
chosen
Peter Chase is a composer known for creating the musical score for the film "L'Appartement."
-
B.
Peter Scudder
Peter Scudder is a fictional character, most notably appearing as a key figure in John le Carré’s spy novel "The Little Drummer Girl."
-
C.
Chris Chasse
Chris Chasse is an American guitarist best known for his tenure with the punk rock band Rise Against during the early 2000s.
-
D.
Peter Russo
Peter Russo is a troubled Pennsylvania congressman and key character in the political drama series "House of Cards."
-
E.
Will Chase
Will Chase is an American actor and singer best known for his work in Broadway musicals and television, including roles in shows like "Rent," "Miss Saigon," and the TV series "Nashville."
- 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95469d100819087c83bc55e3ec9ce |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655762ae88190ab41e23bbd65c566 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:57 p.m.