Triple
T4046997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melody Time |
E84089
|
entity |
| Predicate | director |
P255
|
FINISHED |
| Object | Hamilton Luske |
E183799
|
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: Hamilton Luske | Statement: [Melody Time, director, Hamilton Luske]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamilton Luske Context triple: [Melody Time, director, Hamilton Luske]
-
A.
Hamilton Luske
chosen
Hamilton Luske was an American animator and film director best known for his work on classic Walt Disney animated features.
-
B.
James Hallock
James Hallock is an aviation and safety expert who served on the Columbia Accident Investigation Board that examined the 2003 Space Shuttle Columbia disaster.
-
C.
Joseph Flummerfelt
Joseph Flummerfelt was an acclaimed American choral conductor and educator, best known for his long association with the Westminster Choir and major orchestras and festivals around the world.
-
D.
William Hornbeck
William Hornbeck was an influential American film editor known for his work on numerous classic Hollywood films and for helping to shape modern editing techniques.
-
E.
Gene Milford
Gene Milford was an American film editor known for his work on numerous classic Hollywood films across several decades.
- 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_69aed930bd5c819083e7dcc14fc44f69 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefb62593c8190ab8462c4d9cd9d08 |
completed | March 9, 2026, 4:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf06886d748190b346a1f4cc2b6f10 |
completed | March 21, 2026, 8:58 p.m. |
Created at: March 9, 2026, 3:37 p.m.