Triple
T5913978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | American Pie |
E131532
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Stuart H. Pappé |
E61608
|
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: Stuart H. Pappé | Statement: [American Pie, editedBy, Stuart H. Pappé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart H. Pappé Context triple: [American Pie, editedBy, Stuart H. Pappé]
-
A.
Stuart H. Pappé
chosen
Stuart H. Pappé is a film editor best known for his work on the romantic comedy-drama film "The Preacher's Wife."
-
B.
Andrew Rabinovich
Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
-
C.
Norman Finkelstein
Norman Finkelstein is an American political scientist, author, and commentator known for his controversial critiques of Israeli policy and the politics surrounding the Holocaust.
-
D.
Phil Goldstone
Phil Goldstone was an American film producer and director active in the 1920s and 1930s, known for his work on low-budget genre films in Hollywood.
-
E.
Laurence Marks
Laurence Marks is a British television writer and producer best known for co-creating popular sitcoms such as "Birds of a Feather" and "Goodnight Sweetheart."
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c037b9f0908190ad854e5f2600f114 |
completed | March 22, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c01ddd30819088571c5b56dbae83 |
completed | March 23, 2026, 4:22 a.m. |
Created at: March 22, 2026, 3:59 p.m.