Triple
T18241464
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carl Sack |
E436821
|
entity |
| Predicate | partOfCastWith |
P14987
|
FINISHED |
| Object | Alan Shore |
—
|
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: Alan Shore | Statement: [Carl Sack, partOfCastWith, Alan Shore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alan Shore Context triple: [Carl Sack, partOfCastWith, Alan Shore]
-
A.
Alan Shore
chosen
Alan Shore is a brilliant, eccentric, and ethically ambiguous attorney best known as the central character in the TV legal drama "Boston Legal."
-
B.
M. T. Scudder
M. T. Scudder is a person notable enough to be recognized as a significant bearer of the surname Scudder.
-
C.
John Beckett
John Beckett was a British politician who moved from the Labour Party to far-right politics and became a prominent figure in interwar British fascism.
-
D.
Dr. Doug Ross
Dr. Doug Ross is a charismatic and rebellious pediatrician on the television medical drama "ER," known for his deep compassion for children and complex personal life.
-
E.
Jack McCoy
Jack McCoy is a fictional New York City prosecutor known for his aggressive, morally complex approach to trying cases in the long-running television series "Law & Order."
- 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_69d8b91104e08190a8241f7d260a5162 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4f7e387f481909d72574fb7d17923 |
completed | April 19, 2026, 3:42 p.m. |
Created at: April 10, 2026, 10:33 a.m.