Triple
T8766664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Disturbing Behavior |
E208354
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Marshall Harvey |
E404669
|
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: Marshall Harvey | Statement: [Disturbing Behavior, editor, Marshall Harvey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marshall Harvey Context triple: [Disturbing Behavior, editor, Marshall Harvey]
-
A.
Marshall Harvey
chosen
Marshall Harvey is a film editor best known for his work on movies such as the dark comedy "The 'Burbs."
-
B.
Marshall Pease
Marshall Pease is a computer scientist best known for co-authoring the seminal paper that introduced the Byzantine Generals Problem in distributed computing and fault tolerance.
-
C.
Marshall Thompson
Marshall Thompson was an American film and television actor best known for his roles in mid-20th-century Hollywood productions, including war dramas and science fiction films.
-
D.
Marshall Bell
Marshall Bell is an American character actor known for his memorable supporting roles in films such as Total Recall, Stand by Me, and A Nightmare on Elm Street 2.
-
E.
Harvey Shephard
Harvey Shephard is a television producer best known for his executive production work on the prime-time soap opera "Falcon Crest."
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5ee97fd0819087ef8fe14b37ae43 |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa033e1b4819083521484f46078a1 |
completed | April 3, 2026, 11:10 a.m. |
Created at: March 30, 2026, 6:41 p.m.