Triple
T6135621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Creepshow |
E136823
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Tom Atkins |
E237859
|
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: Tom Atkins | Statement: [Creepshow, starring, Tom Atkins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Atkins Context triple: [Creepshow, starring, Tom Atkins]
-
A.
Tom Atkins
chosen
Tom Atkins is an American character actor best known for his roles in numerous horror and thriller films, particularly in the 1980s.
-
B.
John McIntire
John McIntire was an American character actor known for his distinctive deep voice and roles in Western films and television, as well as voice work in classic Disney animated features.
-
C.
William Novak
William Novak is an American writer and ghostwriter best known for co-authoring high-profile political and celebrity memoirs.
-
D.
John McEntire
John McEntire is an American drummer, producer, and recording engineer best known for his work with experimental and post-rock bands such as Tortoise and The Sea and Cake.
-
E.
John Gibbon
John Gibbon was a 19th-century United States Army officer and Civil War general who later played a key role in the Indian Wars, including campaigns against the Nez Perce.
- 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_69c008a179388190a3b5a081bbf46d55 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05c80a6088190a028967b682fed2b |
completed | March 22, 2026, 9:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c135e22b9481908e6023d1b0a5d0fd |
completed | March 23, 2026, 12:45 p.m. |
Created at: March 22, 2026, 4:15 p.m.