Triple
T15469880
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Coffee Town |
E372130
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Josh Perry
Josh Perry is an actor known for his role in the comedy film "Coffee Town."
|
E1161366
|
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: Josh Perry | Statement: [Coffee Town, castMember, Josh Perry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Josh Perry Context triple: [Coffee Town, castMember, Josh Perry]
-
A.
Daniel Baldwin
Daniel Baldwin is an American actor and member of the Baldwin family of performers, known for his roles in film and television as well as his appearances on reality TV.
-
B.
Donald Faison
Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
-
C.
Richard Thomas
Richard Thomas is an American actor best known for his Emmy-winning role as John-Boy Walton on the television series "The Waltons."
-
D.
Ian George
Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
-
E.
Noah Wyle
Noah Wyle is an American actor best known for his role as Dr. John Carter on the medical drama "ER" and for leading roles in various science fiction and adventure television series and films.
- 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: Josh Perry Triple: [Coffee Town, castMember, Josh Perry]
Generated description
Josh Perry is an actor known for his role in the comedy film "Coffee Town."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Josh Perry Target entity description: Josh Perry is an actor known for his role in the comedy film "Coffee Town."
-
A.
Daniel Baldwin
Daniel Baldwin is an American actor and member of the Baldwin family of performers, known for his roles in film and television as well as his appearances on reality TV.
-
B.
Donald Faison
Donald Faison is an American actor and comedian best known for his role as Dr. Christopher Turk on the television series "Scrubs."
-
C.
Richard Thomas
Richard Thomas is an American actor best known for his Emmy-winning role as John-Boy Walton on the television series "The Waltons."
-
D.
Ian George
Ian George is an Australian Anglican bishop who served as the Archbishop of Adelaide, leading the Anglican Church in South Australia.
-
E.
Noah Wyle
Noah Wyle is an American actor best known for his role as Dr. John Carter on the medical drama "ER" and for leading roles in various science fiction and adventure television series and films.
- 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_69d85cc8bd308190886949510b42e764 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03f6b49788190b270fdfe92646842 |
completed | April 16, 2026, 1:46 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff3657972481909219bc040f674c02 |
completed | May 9, 2026, 1:27 p.m. |
| NEDg | Description generation | batch_69ff3a3d0fe88190bc40652d23bd5195 |
completed | May 9, 2026, 1:44 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff3a97cc5081908a36ccfd939b6e66 |
completed | May 9, 2026, 1:45 p.m. |
Created at: April 10, 2026, 3:33 a.m.