Triple
T11088417
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maura Tierney |
E262184
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Insomnia |
E47436
|
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: Insomnia | Statement: [Maura Tierney, notableWork, Insomnia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Insomnia Context triple: [Maura Tierney, notableWork, Insomnia]
-
A.
Insomnia
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
chosen
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.
-
C.
Insomnias
"Insomnias" is a surrealist work by American artist Dorothea Tanning, reflecting her dreamlike, psychologically charged style.
-
D.
Sleep
Sleep is an experimental 1963 avant-garde film by Andy Warhol consisting of extended, nearly static footage of poet John Giorno sleeping.
-
E.
Sleep
Sleep is a naturally recurring state of rest in which consciousness is altered and the body and brain undergo essential restorative processes.
- 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_69d6aa9a40d88190a373e2c7e48285db |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d799e844b08190987c7c8e8d626510 |
completed | April 9, 2026, 12:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e42d66ded88190877a20a10f012d6b |
completed | April 19, 2026, 1:18 a.m. |
Created at: April 8, 2026, 9:27 p.m.