Triple
T9947027
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem's Lot (1979 miniseries) |
E195228
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Richard Straker |
E230310
|
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: Richard Straker | Statement: [Salem's Lot (1979 miniseries), character, Richard Straker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Straker Context triple: [Salem's Lot (1979 miniseries), character, Richard Straker]
-
A.
Richard Straker
chosen
Richard Straker is a sinister antique dealer and human servant to the vampire Kurt Barlow in Stephen King’s horror novel "Salem’s Lot."
-
B.
Andrew Stroud
Andrew Stroud was a New York City police detective and later the manager and husband of legendary singer and pianist Nina Simone.
-
C.
Max Stenner
Max Stenner is a fictional character appearing in the work "The Silence."
-
D.
Richard Strickland
Richard Strickland is the primary antagonist in Guillermo del Toro's film "The Shape of Water," a cruel government agent whose brutality and obsession drive much of the story's conflict.
-
E.
Tony Streather
Tony Streather was a renowned British mountaineer noted for pioneering ascents of major Himalayan peaks in the mid-20th century.
- 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.