Triple
T2232307
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | See No Evil, Hear No Evil |
E49196
|
entity |
| Predicate | storyBy |
P1955
|
FINISHED |
| Object | Earl Barret |
E264095
|
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: Earl Barret | Statement: [See No Evil, Hear No Evil, storyBy, Earl Barret]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Earl Barret Context triple: [See No Evil, Hear No Evil, storyBy, Earl Barret]
-
A.
Earl Barret
chosen
Earl Barret is a screenwriter best known for his work on the 1989 comedy film "See No Evil, Hear No Evil."
-
B.
Cliff Hagan
Cliff Hagan is an American Hall of Fame basketball player best known for his scoring prowess with the St. Louis Hawks and later as a player-coach in the ABA.
-
C.
Eddie Spears
Eddie Spears is a Native American actor known for his roles in film and television, particularly in Western and Indigenous-themed productions.
-
D.
Earl Hurd
Earl Hurd was an American animator, director, and writer best known as a pioneer of cel animation and an influential early figure in the development of animated films.
-
E.
Earle Kingston
Earle Kingston is the husband of acclaimed Chinese American author Maxine Hong Kingston.
- 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc06d26bc8190a85ddb6312d2df08 |
completed | March 7, 2026, 6:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af1f76bb60819084cac16bce2ce55d |
completed | March 9, 2026, 7:28 p.m. |
Created at: March 4, 2026, 7:47 p.m.