Triple
T9795140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Stop at Willoughby |
E237698
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Norman Parke
Norman Parke was an actor known for appearing in mid-20th-century American television, including an episode of The Twilight Zone.
|
E823191
|
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: Norman Parke | Statement: [A Stop at Willoughby, castMember, Norman Parke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Norman Parke Context triple: [A Stop at Willoughby, castMember, Norman Parke]
-
A.
Norman Puckle
Norman Puckle is the bumbling yet well-meaning protagonist of the 1935 British comedy film "The Bulldog Breed."
-
B.
Norman Brooks
Norman Brooks is an author best known for writing the original work that inspired the film "Attack!".
-
C.
Norman Holbrook
Norman Holbrook was a British Royal Navy officer and World War I submarine commander who received the Victoria Cross for his daring attack on an Ottoman battleship in the Dardanelles.
-
D.
Norman Hewson
Norman Hewson is the brother of U2's lead singer Bono and a member of the Hewson family from Dublin, Ireland.
-
E.
John Talman
John Talman was an English antiquary and art collector of the early 18th century, notable for his pioneering role in the study and preservation of historical artifacts and artworks.
- 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: Norman Parke Triple: [A Stop at Willoughby, castMember, Norman Parke]
Generated description
Norman Parke was an actor known for appearing in mid-20th-century American television, including an episode of The Twilight Zone.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Norman Parke Target entity description: Norman Parke was an actor known for appearing in mid-20th-century American television, including an episode of The Twilight Zone.
-
A.
Norman Puckle
Norman Puckle is the bumbling yet well-meaning protagonist of the 1935 British comedy film "The Bulldog Breed."
-
B.
Norman Brooks
Norman Brooks is an author best known for writing the original work that inspired the film "Attack!".
-
C.
Norman Holbrook
Norman Holbrook was a British Royal Navy officer and World War I submarine commander who received the Victoria Cross for his daring attack on an Ottoman battleship in the Dardanelles.
-
D.
Norman Hewson
Norman Hewson is the brother of U2's lead singer Bono and a member of the Hewson family from Dublin, Ireland.
-
E.
John Talman
John Talman was an English antiquary and art collector of the early 18th century, notable for his pioneering role in the study and preservation of historical artifacts and artworks.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda34916dc8190acef2ba003e56a33 |
completed | April 1, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1cc5118a481908a65d730f86c7723 |
completed | April 5, 2026, 2:43 a.m. |
| NEDg | Description generation | batch_69d1cce3d9d481909eaf7278dfe20955 |
completed | April 5, 2026, 2:45 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1cd5d1670819085c58ff8889318af |
completed | April 5, 2026, 2:47 a.m. |
Created at: March 30, 2026, 8:28 p.m.