Triple
T12167654
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cy Howard |
E289875
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Cy Howard |
E289875
|
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: Cy Howard | Statement: [Cy Howard, name, Cy Howard]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cy Howard Context triple: [Cy Howard, name, Cy Howard]
-
A.
Cy Howard
chosen
Cy Howard was an American radio and television writer, producer, and director best known for creating the popular radio series "My Friend Irma."
-
B.
Leslie Harter
Leslie Harter is a film producer known for her work in Hollywood and for being married to director Robert Zemeckis.
-
C.
Michele Morgan
Michele Morgan is an American voice actress best known for voicing Sharon Hawkins in the animated superhero series "Static Shock."
-
D.
Margy Reed
Margy Reed, better known by her stage name Martha Raye, was an American comic actress and singer famed for her brassy personality, wide mouth, and extensive USO performances entertaining troops during multiple wars.
-
E.
Lecy Goranson
Lecy Goranson is an American actress best known for playing Becky Conner on the sitcom "Roseanne" and its revival.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d85c088190a74fb7590877659b |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e4deb308190aa1a99a78d46b461 |
completed | May 2, 2026, 3:54 p.m. |
Created at: April 8, 2026, 9:50 p.m.