Triple
T5590950
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Thin Man |
E146874
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Nat Pendleton |
E363411
|
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: Nat Pendleton | Statement: [The Thin Man, castMember, Nat Pendleton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nat Pendleton Context triple: [The Thin Man, castMember, Nat Pendleton]
-
A.
Nat Pendleton
chosen
Nat Pendleton was an American Olympic wrestler-turned-character actor best known for his comic tough-guy roles in 1930s and 1940s Hollywood films.
-
B.
Paul Bransom
Paul Bransom was an American illustrator and wildlife artist best known for his detailed animal drawings in early 20th-century books and magazines.
-
C.
Charles Roane
Charles Roane is a music producer known for his work on the album "Back to Basics."
-
D.
Sam Giddings
Sam Giddings is a central playable protagonist in the horror video game Until Dawn, known for her resourcefulness, moral compass, and strong chances of survival depending on player choices.
-
E.
Tony Puryear
Tony Puryear is an American screenwriter best known for co-writing the 1996 action film "Eraser" starring Arnold Schwarzenegger.
- 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_69c009036c408190981a8d690b679b67 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c020a1d4cc8190a52264dfba6aa011 |
completed | March 22, 2026, 5:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0286852148190ad4975fe746d7001 |
completed | March 22, 2026, 5:35 p.m. |
Created at: March 22, 2026, 3:38 p.m.