Triple
T23484253
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlotte Johnson Wahl |
E570487
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Nicholas Wahl |
—
|
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: Nicholas Wahl | Statement: [Charlotte Johnson Wahl, spouse, Nicholas Wahl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nicholas Wahl Context triple: [Charlotte Johnson Wahl, spouse, Nicholas Wahl]
-
A.
Nicholas Wahl
chosen
Nicholas Wahl was the husband of British painter Charlotte Johnson Wahl and a member of the extended Johnson family connected to former UK Prime Minister Boris Johnson.
-
B.
Nicholas Wittman
Nicholas Wittman is an actor best known for his role in the television series "Mars."
-
C.
Nicholas Knisely
Nicholas Knisely is an American Episcopal bishop and former physicist who serves as the diocesan leader of the Episcopal Church in Rhode Island.
-
D.
Nicholas Schiefer
Nicholas Schiefer is a computer scientist and entrepreneur best known as a co-founder of the AI safety and research company Anthropic.
-
E.
Nicholas Monsour
Nicholas Monsour is a film editor known for his work on Jordan Peele’s horror film "Nope."
- 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_69e245b0b01481908f636939bedd804c |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a752c678819087e5c50b8cf87d3d |
completed | April 29, 2026, 6:38 a.m. |
Created at: April 17, 2026, 6:03 p.m.