Triple
T2777520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Preacher's Wife |
E61608
|
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: [The Preacher's Wife, editedBy, Stuart H. Pappé]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Stuart H. Pappé Context triple: [The Preacher's Wife, 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.
Shlomo Ganzfried
Shlomo Ganzfried was a 19th-century Hungarian rabbi and halachic authority best known for composing the widely used concise code of Jewish law, the Kitzur Shulchan Aruch.
-
E.
Doron Peled
Doron Peled is a computer scientist known for his contributions to formal methods and model checking, particularly in collaboration with Edmund M. Clarke.
- 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_69ab4b7e43c48190997b8fc8fb1663ab |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abdd82a864819082bd1181a16d5208 |
completed | March 7, 2026, 8:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc05adf908190bd16bbb6f8ea213a |
completed | March 10, 2026, 6:55 a.m. |
Created at: March 6, 2026, 9:57 p.m.