Triple
T18804955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stephen King multiverse |
E459846
|
entity |
| Predicate | includesLocation |
P45140
|
FINISHED |
| Object | Haven |
—
|
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: Haven | Statement: [Stephen King multiverse, includesLocation, Haven]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haven Context triple: [Stephen King multiverse, includesLocation, Haven]
-
A.
Haven
"Haven" is a literary work by British writer and socialite Elizabeth Asquith, reflecting her early 20th-century intellectual and artistic milieu.
-
B.
Haven
chosen
Haven is a supernatural mystery television series set in a small Maine town plagued by strange, unexplained phenomena.
-
C.
Haven
Haven is a prominent port city in the southern Valenwood region of The Elder Scrolls universe, serving as a key Bosmeri trade and cultural center.
-
D.
Haven
Haven is the fictional war-torn city and primary battleground in Patrick Ness’s dystopian young adult novel "Monsters of Men."
-
E.
Haven
Haven is the commonly used nickname for Whitehaven R.L.F.C., a professional rugby league club based in Whitehaven, Cumbria, England.
- 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_69d8d398c7d4819091cb2f7e48948aeb |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5a3d6d5e081909d8285e52cb753ba |
completed | April 20, 2026, 3:56 a.m. |
Created at: April 10, 2026, 11:53 a.m.