Triple
T4709954
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Into the Blue |
E104483
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Scott Caan |
E204154
|
NE FINISHED |
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: Scott Caan | Statement: [Into the Blue, starring, Scott Caan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scott Caan Context triple: [Into the Blue, starring, Scott Caan]
-
A.
Scott Caan
chosen
Scott Caan is an American actor known for his roles in films like the Ocean's trilogy and the TV series "Hawaii Five-0."
-
B.
Brad Grey
Brad Grey was an American television and film producer who served as chairman and CEO of Paramount Pictures, overseeing the studio during a major period of commercial and critical success.
-
C.
Jason Seaver
Jason Seaver is the wisecracking psychiatrist father and central figure of the 1980s American sitcom "Growing Pains."
-
D.
Dylan McKay
Dylan McKay is a brooding, rebellious yet sensitive heartthrob character from the television series "Beverly Hills, 90210," known for his complicated relationships and troubled past.
-
E.
Mark Robarts
Mark Robarts is an ambitious young clergyman in Anthony Trollope’s novel "Framley Parsonage," whose social aspirations and financial imprudence drive much of the story’s conflict.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd43eac3c08190af7e4020c6c3704c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd63ee712c81908da60aa0df58efe0 |
completed | March 20, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be1078784c81908e9a3fd0b168cadc |
completed | March 21, 2026, 3:28 a.m. |
Created at: March 20, 2026, 1:17 p.m.