Triple
T14170701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matthew McNulty |
E351197
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Deadwater Fell |
E245039
|
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: Deadwater Fell | Statement: [Matthew McNulty, notableWork, Deadwater Fell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Deadwater Fell Context triple: [Matthew McNulty, notableWork, Deadwater Fell]
-
A.
Deadwater Fell
chosen
Deadwater Fell is a British crime drama television miniseries that explores the aftermath of a devastating family tragedy in a small Scottish community.
-
B.
Waters of Death
Waters of Death is a perilous, mythic boundary of lethal waters in the Epic of Gilgamesh that separates the mortal world from the distant realm of the gods.
-
C.
Lake of the Demon
Lake of the Demon is an ominous epithet for Lake Rakshastal, a high-altitude saltwater lake in Tibet traditionally associated with demonic forces and negative spiritual energy in Hindu and Buddhist mythology.
-
D.
The Drowner
The Drowner is a crime novel by John D. MacDonald that blends suspense and psychological tension in a story of murder and moral ambiguity.
-
E.
Devil’s Water
Devil’s Water is a small river in Northumberland, England, known for its scenic rural valley and contribution to the River Tyne catchment.
- 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_69d8278834a08190b0f1784e58d7b99c |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de61b472288190b4a271daa54aa6cd |
completed | April 14, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcf808e6088190a607903be0f2adc7 |
completed | May 7, 2026, 8:37 p.m. |
Created at: April 10, 2026, 1:01 a.m.