Triple
T11049640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Good Son |
E261211
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | David Morse |
E73876
|
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: David Morse | Statement: [The Good Son, starring, David Morse]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: David Morse Context triple: [The Good Son, starring, David Morse]
-
A.
David Morse
chosen
David Morse is an American character actor known for his tall, imposing presence and roles in films such as The Green Mile, The Hurt Locker, and television series like St. Elsewhere.
-
B.
Dylan Walsh
Dylan Walsh is an American actor best known for his role as Dr. Sean McNamara on the television series "Nip/Tuck."
-
C.
George Eads
George Eads is an American actor best known for his long-running role as Nick Stokes on the television series CSI: Crime Scene Investigation.
-
D.
Eriq La Salle
Eriq La Salle is an American actor, director, and producer best known for his role as Dr. Peter Benton on the television series "ER."
-
E.
Brendan Hines
Brendan Hines is an American actor and singer-songwriter best known for his television roles in series such as "Lie to Me," "Scandal," and "The Tick."
- 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_69d6aa98650481908609c7c56bfa7902 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d79868c78881908c8e3672c05ae7ec |
completed | April 9, 2026, 12:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3aa06bae08190a0db615a258ded29 |
completed | April 18, 2026, 3:57 p.m. |
Created at: April 8, 2026, 9:26 p.m.