Triple
T9069006
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riff |
E217313
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Michael Callan
Michael Callan was an American actor and dancer best known for his work in 1960s film and television musicals and comedies.
|
E776065
|
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: Michael Callan | Statement: [Riff, portrayedBy, Michael Callan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Callan Context triple: [Riff, portrayedBy, Michael Callan]
-
A.
Michael Callaghan
Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
-
B.
Nick Callan
Nick Callan is the central protagonist of the film "The Four Seasons," around whose experiences and relationships the story revolves.
-
C.
Richard O'Callaghan
Richard O'Callaghan is a British actor known for his roles in film, television, and theatre, particularly in the later entries of the "Carry On" comedy series.
-
D.
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.
-
E.
Brian Callaghan
Brian Callaghan is a personal name shared by multiple individuals, typically of Irish or British origin, who may be notable in various professional or public contexts.
- 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: Michael Callan Triple: [Riff, portrayedBy, Michael Callan]
Generated description
Michael Callan was an American actor and dancer best known for his work in 1960s film and television musicals and comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Michael Callan Target entity description: Michael Callan was an American actor and dancer best known for his work in 1960s film and television musicals and comedies.
-
A.
Michael Callaghan
Michael Callaghan is one of the children of former UK Prime Minister James Callaghan.
-
B.
Nick Callan
Nick Callan is the central protagonist of the film "The Four Seasons," around whose experiences and relationships the story revolves.
-
C.
Richard O'Callaghan
Richard O'Callaghan is a British actor known for his roles in film, television, and theatre, particularly in the later entries of the "Carry On" comedy series.
-
D.
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.
-
E.
Brian Callaghan
Brian Callaghan is a personal name shared by multiple individuals, typically of Irish or British origin, who may be notable in various professional or public contexts.
- 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_69ca83d5a7f48190b16c1e59bd43ede0 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc955ba250819085fa49e0059d06c1 |
completed | April 1, 2026, 3:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffde470388190ae88a96654404410 |
completed | April 3, 2026, 5:50 p.m. |
| NEDg | Description generation | batch_69d000d2c5688190b014ce33c04ff875 |
completed | April 3, 2026, 6:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d001a1056c819083793547dbd4b1ee |
completed | April 3, 2026, 6:06 p.m. |
Created at: March 30, 2026, 7:11 p.m.