Triple
T19076607
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max Engel |
E466920
|
entity |
| Predicate | createdBy |
P806
|
FINISHED |
| Object | Todd Casey |
—
|
NE NERFINISHED |
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: Todd Casey | Statement: [Max Engel, createdBy, Todd Casey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Todd Casey Context triple: [Max Engel, createdBy, Todd Casey]
-
A.
Todd Casey
chosen
Todd Casey is a screenwriter best known for co-writing the 2015 horror-comedy film "Krampus."
-
B.
Sammy Shields
Sammy Shields is a notable individual who has gained recognition significant enough to be documented as a bearer of the Shields surname.
-
C.
Parker Munson
Parker Munson is a fictional character from the soap opera "As the World Turns," known as the son of Carly Tenney.
-
D.
Bart Andrus
Bart Andrus is an American football coach best known for his work in NFL Europe and various professional and collegiate coaching roles.
-
E.
Don Altobello
Don Altobello is an elderly, seemingly benevolent but ultimately treacherous Mafia don who plays a key antagonist role in the crime drama film "The Godfather Part III."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd04f4488190b1121cc53ef2bfd6 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e2e49c7c8190b6ce7b918086b23c |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 10, 2026, 12:04 p.m.