Triple
T15740194
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Signetics |
E381581
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object | Mark Weissenstern |
E381581
|
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: Mark Weissenstern | Statement: [Signetics, foundedBy, Mark Weissenstern]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Weissenstern Context triple: [Signetics, foundedBy, Mark Weissenstern]
-
A.
Mark Weissenstern
chosen
Mark Weissenstern is an electronics industry figure best known as a founder of the semiconductor company Signetics.
-
B.
Andro Steinborn
Andro Steinborn is a film producer best known for his work on the psychological thriller "Funny Games U.S."
-
C.
George Blaurock
George Blaurock was an early leader of the Swiss Anabaptist movement and one of the founding figures of the Swiss Brethren during the Protestant Reformation.
-
D.
Felix Krull
Felix Krull is the charming, quick-witted con artist and social climber who narrates Thomas Mann’s picaresque novel "The Confessions of Felix Krull."
-
E.
Andreas Wolf
Andreas Wolf is a central, morally ambiguous East German exile and activist in Jonathan Franzen’s novel "Purity," whose complex past and charismatic influence drive much of the book’s plot.
- 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_69d86d9cdb648190bf3171be0bd7d872 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fd816308190a297986ee7e5554c |
completed | April 16, 2026, 2:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff83056aa0819098b757ed125e61fe |
completed | May 9, 2026, 6:55 p.m. |
Created at: April 10, 2026, 4:46 a.m.