Triple
T2249693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jack Haley |
E49587
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Jack Haley |
E49587
|
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: Jack Haley | Statement: [Jack Haley, name, Jack Haley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jack Haley Context triple: [Jack Haley, name, Jack Haley]
-
A.
Jack Haley
chosen
Jack Haley was an American actor best known for playing the Tin Man in the classic 1939 film "The Wizard of Oz."
-
B.
John William Ferrell
John William Ferrell is an American actor, comedian, producer, and writer best known for his work on "Saturday Night Live" and in hit comedy films such as "Anchorman" and "Elf."
-
C.
Frank Gaylord
Frank Gaylord was an American sculptor best known for creating the statues of soldiers at the Korean War Veterans Memorial in Washington, D.C.
-
D.
Roy Harlow
Roy Harlow was the husband of silent film actress Marie Mosquini, known primarily in relation to her career in early American cinema.
-
E.
Leo White
Leo White was a British-born American character actor and director best known for his work in silent films, including frequent collaborations with Charlie Chaplin.
- 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_69a88aa979788190ad6500f1d8eee2fc |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0ef74988190a0af51d983cf5658 |
completed | March 7, 2026, 6:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae71c487908190903e06bcb2393484 |
completed | March 9, 2026, 7:07 a.m. |
Created at: March 4, 2026, 7:47 p.m.