Triple
T11243084
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From Hand to Mouth |
E266123
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | James T. Kelley |
E686714
|
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: James T. Kelley | Statement: [From Hand to Mouth, hasCastMember, James T. Kelley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James T. Kelley Context triple: [From Hand to Mouth, hasCastMember, James T. Kelley]
-
A.
James T. Kelley
chosen
James T. Kelley was an early 20th-century film actor best known for his supporting roles in silent comedies, including several Charlie Chaplin films.
-
B.
Nathan B. Kelley
Nathan B. Kelley was a 19th-century American architect best known for his significant role in designing and overseeing the construction of the Ohio Statehouse in Columbus.
-
C.
Gary C. Kelly
Gary C. Kelly is an American business executive best known for serving as the longtime CEO and later executive chairman of Southwest Airlines.
-
D.
Thomas E. Ackerman
Thomas E. Ackerman is an American cinematographer known for his work on popular films including the dark comedy-fantasy "Beetlejuice."
-
E.
James L. Wilmeth
James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
- 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_69d6aac656d48190b275efaa7d6074ee |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e91b0b808190bc38008bb344d180 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a1d8e088190a2168952ab5dc687 |
completed | May 10, 2026, 1:37 p.m. |
Created at: April 8, 2026, 9:30 p.m.