Triple
T1741065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Schwab |
E38232
|
entity |
| Predicate | coDefendant |
P31780
|
FINISHED |
| Object | Louis Lingg |
E75173
|
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: Louis Lingg | Statement: [Michael Schwab, coDefendant, Louis Lingg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Louis Lingg Context triple: [Michael Schwab, coDefendant, Louis Lingg]
-
A.
Louis Lingg
chosen
Louis Lingg was a German-born anarchist and labor activist best known as one of the defendants in the 1886 Haymarket affair in Chicago.
-
B.
Walter Naegle
Walter Naegle is an American activist and archivist best known as the longtime partner and estate executor of civil rights leader Bayard Rustin.
-
C.
William Wendt
William Wendt was a prominent American landscape painter celebrated as a leading figure of the California Impressionist movement.
-
D.
Robert Lusser
Robert Lusser was a German aeronautical engineer best known for his key role in designing several important World War II aircraft, including contributions to the Messerschmitt Bf 109.
-
E.
Karl Struss
Karl Struss was an influential American cinematographer and photographer known for his innovative visual style in early Hollywood cinema, including work on landmark films such as "The Great Dictator."
- 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_69a8862b01a48190ab47209063af82d9 |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69abaffd9b68819084f6c4d5e1aace1e |
completed | March 7, 2026, 4:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b34ba28fb88190823f5c7c0492f6f8 |
completed | March 12, 2026, 11:26 p.m. |
Created at: March 4, 2026, 7:30 p.m.