Triple
T1725284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Salem's Lot |
E37481
|
entity |
| Predicate | hasAntagonist |
P18963
|
FINISHED |
| Object | Kurt Barlow |
E275747
|
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: Kurt Barlow | Statement: [Salem's Lot, hasAntagonist, Kurt Barlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kurt Barlow Context triple: [Salem's Lot, hasAntagonist, Kurt Barlow]
-
A.
Kurt Barlow
chosen
Kurt Barlow is the ancient, malevolent vampire antagonist in Stephen King’s horror novel "Salem’s Lot."
-
B.
John Bluthal
John Bluthal was a Polish-born British actor best known for his comic roles in British television and film, including his memorable performance in the sitcom "The Vicar of Dibley."
-
C.
Ken Ralston
Ken Ralston is an acclaimed visual effects supervisor known for his groundbreaking work on major films such as the Star Wars and Back to the Future series.
-
D.
Denis Barnett
Denis Barnett was a senior Royal Air Force officer who rose to high command during and after the Second World War.
-
E.
Donald Wolfit
Donald Wolfit was a renowned English stage and film actor, particularly celebrated for his Shakespearean performances and his powerful, often larger-than-life acting style.
- 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_69a8861acab88190bb43cde203429399 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa635cad5481908e6c04a230d3b0bb |
completed | March 6, 2026, 5:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af5cb503bc8190823a843bb58d85e1 |
completed | March 9, 2026, 11:50 p.m. |
Created at: March 4, 2026, 7:30 p.m.