Triple
T19165093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Zaslow |
E469157
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Spenser: For Hire |
—
|
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: Spenser: For Hire | Statement: [Michael Zaslow, appearedIn, Spenser: For Hire]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Spenser: For Hire Context triple: [Michael Zaslow, appearedIn, Spenser: For Hire]
-
A.
Spenser: For Hire
chosen
Spenser: For Hire is an American crime drama television series based on Robert B. Parker’s Spenser novels, starring Robert Urich as the titular Boston private investigator.
-
B.
The Spy
"The Spy" is an 1821 historical novel by James Fenimore Cooper set during the American Revolutionary War, often regarded as one of the earliest major works of American fiction.
-
C.
The Spy
The Spy is a film featuring Russian actress Svetlana Khodchenkova in a prominent role within a Cold War espionage narrative.
-
D.
Ten Wanted Men
Ten Wanted Men is a 1955 American Western film starring Randolph Scott as a rancher caught in a violent range war.
-
E.
The McGuffin
The McGuffin is a satirical crime novel by British writer John Bowen that playfully subverts thriller conventions.
- 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_69d8dd09d5a081909ae43c286651ae5a |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5f15e2720819084b1707497db26a2 |
completed | April 20, 2026, 9:26 a.m. |
Created at: April 10, 2026, 12:06 p.m.