Triple
T7192306
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watts |
E167722
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Watt |
E501013
|
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: Watt | Statement: [Watts, relatedName, Watt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Watt Context triple: [Watts, relatedName, Watt]
-
A.
Watt
Watt is an experimental novel by Samuel Beckett that follows the absurd, often comic journey of its title character through a bizarre and logically distorted world.
-
B.
Watt (character)
chosen
Watt (character) is a fictional protagonist best known as the central figure in Samuel Beckett’s novel "Watt," noted for its absurdist style and exploration of logic and language.
-
C.
Amper
The Amper is a river in Bavaria, Germany, known for flowing from the Ammersee toward the Isar and ultimately contributing to the Danube river system.
-
D.
Maxwell
Maxwell is the given first name of Lord Beaverbrook, a prominent 20th-century British-Canadian newspaper magnate and politician.
-
E.
Maxwell
Maxwell is the middle name of William M. Evarts, a prominent 19th-century American lawyer, statesman, and U.S. Secretary of State.
- 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_69c6888b5248819090499a884ee3ec39 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e901ea1481908a9e44f96dd4b553 |
completed | March 27, 2026, 8:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7bf95a1a0819099d252f037c318c7 |
completed | March 28, 2026, 11:46 a.m. |
Created at: March 27, 2026, 2:50 p.m.