Triple
T3622041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Four Seasons |
E76747
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Nick Callan
Nick Callan is the central protagonist of the film "The Four Seasons," around whose experiences and relationships the story revolves.
|
E373023
|
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: Nick Callan | Statement: [The Four Seasons, mainCharacter, Nick Callan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Callan Context triple: [The Four Seasons, mainCharacter, Nick Callan]
-
A.
Daniel Callaghan
Daniel Callaghan was a U.S. Navy rear admiral and Medal of Honor recipient noted for his leadership and death in action during the Naval Battle of Guadalcanal in World War II.
-
B.
Richard Callaghan
Richard Callaghan is a prominent American figure skating coach best known for guiding Olympic champion Tara Lipinski to international success.
-
C.
Steve Callaghan
Steve Callaghan is an American television writer and producer best known for his long-running work on the animated series Family Guy.
-
D.
Phil Callaghan
Phil Callaghan is a person notable enough to be recognized as a bearer of the surname Callaghan.
-
E.
Michael Callaghan
Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
- 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: Nick Callan Triple: [The Four Seasons, mainCharacter, Nick Callan]
Generated description
Nick Callan is the central protagonist of the film "The Four Seasons," around whose experiences and relationships the story revolves.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nick Callan Target entity description: Nick Callan is the central protagonist of the film "The Four Seasons," around whose experiences and relationships the story revolves.
-
A.
Daniel Callaghan
Daniel Callaghan was a U.S. Navy rear admiral and Medal of Honor recipient noted for his leadership and death in action during the Naval Battle of Guadalcanal in World War II.
-
B.
Richard Callaghan
Richard Callaghan is a prominent American figure skating coach best known for guiding Olympic champion Tara Lipinski to international success.
-
C.
Steve Callaghan
Steve Callaghan is an American television writer and producer best known for his long-running work on the animated series Family Guy.
-
D.
Phil Callaghan
Phil Callaghan is a person notable enough to be recognized as a bearer of the surname Callaghan.
-
E.
Michael Callaghan
Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc2bb12cc8190bd67597cf3b66a3a |
completed | March 8, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331e75d08190ad1ce3e7ef26454a |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b436140e9c81909c0616e6fce36c2b |
completed | March 13, 2026, 4:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b439c83580819091024e692847a7db |
completed | March 13, 2026, 4:22 p.m. |
Created at: March 8, 2026, 3:23 p.m.