Triple
T18612258
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derry, Maine |
E454923
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | Insomnia |
—
|
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: Insomnia | Statement: [Derry, Maine, appearsIn, Insomnia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Insomnia Context triple: [Derry, Maine, appearsIn, Insomnia]
-
A.
Insomnia
chosen
Insomnia is a horror-fantasy novel by Stephen King that intertwines with his larger Dark Tower universe through shared characters, themes, and metaphysical elements.
-
B.
Insomnia
"Insomnia" is a contemporary orchestral work by Finnish conductor-composer Esa-Pekka Salonen, noted for its vivid, restless sound world and exploration of sleeplessness.
-
C.
Insomnia
Insomnia is a 2002 psychological thriller film directed by Christopher Nolan, following a sleep-deprived detective investigating a murder in an Alaskan town where the sun never sets.
-
D.
Insomnia
"Insomnia" is a popular Indian pop song by singer Daya, known for its catchy electronic production and themes of restless longing.
-
E.
Insomnias
"Insomnias" is a surrealist work by American artist Dorothea Tanning, reflecting her dreamlike, psychologically charged style.
- 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_69d8d38bbe7c8190bdec3138e7d413c9 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e54d01ebd08190b6e646e3a749d7f5 |
completed | April 19, 2026, 9:45 p.m. |
Created at: April 10, 2026, 11:45 a.m.