Triple
T7672215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heigh-Ho |
E173774
|
entity |
| Predicate | performerInFilm |
P5563
|
FINISHED |
| Object | Roy Atwell |
E173053
|
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: Roy Atwell | Statement: [Heigh-Ho, performerInFilm, Roy Atwell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roy Atwell Context triple: [Heigh-Ho, performerInFilm, Roy Atwell]
-
A.
Roy Atwell
chosen
Roy Atwell was an American actor and comedian best known for voicing the stuttering dwarf Doc in Disney’s classic animated film "Snow White and the Seven Dwarfs."
-
B.
George Powell
George Powell was a 19th-century British sealer and explorer noted for his Antarctic voyages and co-discovery of several sub-Antarctic islands.
-
C.
Basil Blackett
Basil Blackett was a British civil servant and financial expert who played a key role in shaping early 20th-century imperial and international economic policy.
-
D.
Frank Muir
Frank Muir was a British comedy writer and broadcaster known for his witty contributions to radio and television panel shows and for co-creating several classic British sitcoms.
-
E.
Dudley Nichols
Dudley Nichols was an American screenwriter and director best known for his prolific work in Hollywood’s Golden Age, including his Academy Award-winning script for "The Informer."
- 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_69c6995703e0819081de77361b602e78 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c701de94208190a7627521211452dc |
completed | March 27, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b4f716a48190a0ca52caffc2c1c1 |
completed | March 29, 2026, 5:13 a.m. |
Created at: March 27, 2026, 4 p.m.