Triple
T3553885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Louis Lingg |
E75173
|
entity |
| Predicate | coDefendant |
P31780
|
FINISHED |
| Object | Adolph Fischer |
E59762
|
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: Adolph Fischer | Statement: [Louis Lingg, coDefendant, Adolph Fischer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adolph Fischer Context triple: [Louis Lingg, coDefendant, Adolph Fischer]
-
A.
Adolph Fischer
chosen
Adolph Fischer was a German-American labor activist and anarchist who became one of the executed Haymarket Martyrs following the 1886 labor protests in Chicago.
-
B.
Louis Bamberger
Louis Bamberger was an American businessman and philanthropist best known for using his fortune from a successful Newark department store to help establish the Institute for Advanced Study in Princeton.
-
C.
Adolph Deutsch
Adolph Deutsch was a British-American composer and conductor best known for his film scores during Hollywood's Golden Age, including classic noir and crime dramas.
-
D.
Fritz Melchers
Fritz Melchers is a Swiss immunologist renowned for his influential research on B cell development and the immune system.
-
E.
Charles Zidler
Charles Zidler was a French impresario best known for co-founding and managing the famous Parisian cabaret Moulin Rouge in the late 19th century.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05549d88190acdebdd542ea1a67 |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5b73c409081909c583019d7ec1d4a |
completed | March 14, 2026, 7:30 p.m. |
Created at: March 8, 2026, 3:20 p.m.