Triple
T16779202
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christof |
E407811
|
entity |
| Predicate | settingOfWork |
P15236
|
FINISHED |
| Object | Seahaven (artificial town) |
E407814
|
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: Seahaven (artificial town) | Statement: [Christof, settingOfWork, Seahaven (artificial town)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seahaven (artificial town) Context triple: [Christof, settingOfWork, Seahaven (artificial town)]
-
A.
Seahaven
chosen
Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
-
B.
Seatown
Seatown is a small coastal village in Dorset, England, known for its beach, cliffs, and location along the Jurassic Coast.
-
C.
Seatown
Seatown is a coastal residential area forming part of the town of Lossiemouth in Moray, Scotland.
-
D.
Avalon Harbor
Avalon Harbor is the main picturesque waterfront and boating hub of the resort city of Avalon on Santa Catalina Island, California.
-
E.
Folehaven
Folehaven is a residential neighborhood in the Valby district of Copenhagen, Denmark.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21401b881909bbbc7382e851a90 |
completed | April 18, 2026, 4:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00ab00cf708190a2562fa14d72a4df |
completed | May 10, 2026, 3:57 p.m. |
Created at: April 10, 2026, 5:22 a.m.