Triple
T12340305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayward Pines |
E294203
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Tom Stevens
Tom Stevens is a Canadian actor best known for his role in the television series Wayward Pines.
|
E978817
|
NE FINISHED |
How this triple was built (4 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 Stevens | Statement: [Wayward Pines, castMember, Tom Stevens]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Stevens Context triple: [Wayward Pines, castMember, Tom Stevens]
-
A.
Tom Stevens
Tom Stevens is a fictional character played by actor Hugh Marlowe, best known from mid-20th-century American film and television.
-
B.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
C.
David Stevens
David Stevens was an Australian screenwriter and director best known for co-writing the acclaimed film "Breaker Morant" and his work in film, television, and theatre.
-
D.
Andrew Stevens
Andrew Stevens is an American actor, producer, and director known for his work in films and television since the 1970s.
-
E.
Mark Stevens
Mark Stevens is a music producer known for his work with the artist Chaka.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Tom Stevens Triple: [Wayward Pines, castMember, Tom Stevens]
Generated description
Tom Stevens is a Canadian actor best known for his role in the television series Wayward Pines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom Stevens Target entity description: Tom Stevens is a Canadian actor best known for his role in the television series Wayward Pines.
-
A.
Tom Stevens
Tom Stevens is a fictional character played by actor Hugh Marlowe, best known from mid-20th-century American film and television.
-
B.
Don Stevens
Don Stevens is a notable individual recognized for achievements significant enough to be distinguished from others sharing the surname Stevens.
-
C.
David Stevens
David Stevens was an Australian screenwriter and director best known for co-writing the acclaimed film "Breaker Morant" and his work in film, television, and theatre.
-
D.
Andrew Stevens
Andrew Stevens is an American actor, producer, and director known for his work in films and television since the 1970s.
-
E.
Mark Stevens
Mark Stevens is a music producer known for his work with the artist Chaka.
- F. None of above. chosen
Provenance (5 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7758dc8190bbc6a9ad00b01dce |
completed | April 10, 2026, 6:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62aaa1d548190be065412aab70385 |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62c55aacc8190a0544306825bdfab |
completed | May 2, 2026, 4:54 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f62d51ab8081909c6f534051019dca |
completed | May 2, 2026, 4:58 p.m. |
Created at: April 8, 2026, 9:53 p.m.