Triple
T18337453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Summer Catch |
E439308
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Gabriel Mann |
—
|
NE NERFINISHED |
How this triple was built (2 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: Gabriel Mann | Statement: [Summer Catch, starring, Gabriel Mann]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gabriel Mann Context triple: [Summer Catch, starring, Gabriel Mann]
-
A.
Gabriel Mann
Gabriel Mann is an American composer and musician best known for scoring television series such as "Modern Family" and "A Million Little Things."
-
B.
Gabriel Mann
chosen
Gabriel Mann is an American actor best known for his role as tech genius Nolan Ross on the television drama series "Revenge."
-
C.
Michael Roskam
Michael Roskam is a Belgian film director, screenwriter, and producer best known for his crime drama "Bullhead" and his work in both European and American cinema.
-
D.
David Daniel Kaminsky
David Daniel Kaminsky, better known as Danny Kaye, was a celebrated American actor, comedian, singer, and dancer renowned for his energetic performances in mid-20th-century film and television.
-
E.
Matthew Hannam
Matthew Hannam is a Canadian film and television editor known for his work on acclaimed independent films and series.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ece387881909a5da0aa4370489c |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.