Triple
T9947012
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem's Lot (1979 miniseries) |
E195228
|
entity |
| Predicate | editor |
P1954
|
FINISHED |
| Object | Tom Pryor |
E829408
|
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: Tom Pryor | Statement: [Salem's Lot (1979 miniseries), editor, Tom Pryor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom Pryor Context triple: [Salem's Lot (1979 miniseries), editor, Tom Pryor]
-
A.
Tom Pryor
chosen
Tom Pryor is an editor known for his work on the publication "Burnt Offerings."
-
B.
Jimmy Witherspoon
Jimmy Witherspoon was an American blues and jazz singer known for his powerful, soulful voice and influential postwar recordings.
-
C.
Leon Frierson
Leon Frierson is an American actor and comedian best known for being a cast member on the Nickelodeon sketch comedy series "All That" in the late 1990s and early 2000s.
-
D.
Lucky Thompson
Lucky Thompson was an American jazz saxophonist known for his lyrical style and work in the bebop and hard bop eras.
-
E.
Roscoe Maples
Roscoe Maples was a benefactor whose contributions to Stanford University led to the campus arena Maples Pavilion being named in his honor.
- 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_69ca82e96a108190932bd1fc4acd73a0 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb657b35c81909448e93999f6e77c |
completed | April 2, 2026, 12:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2292257bc8190b3a15de60d7c9ba2 |
completed | April 5, 2026, 9:19 a.m. |
Created at: March 30, 2026, 8:45 p.m.