Triple
T7908488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Herkimer Hurricane |
E183637
|
entity |
| Predicate | refersTo |
P37
|
FINISHED |
| Object | Lou Ambers |
E35409
|
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: Lou Ambers | Statement: [The Herkimer Hurricane, refersTo, Lou Ambers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lou Ambers Context triple: [The Herkimer Hurricane, refersTo, Lou Ambers]
-
A.
Lou Ambers
chosen
Lou Ambers was an American professional boxer best known as a two-time world lightweight champion during the 1930s.
-
B.
John Burningham
John Burningham was a renowned British author and illustrator of children's books, celebrated for his distinctive, whimsical artwork and storytelling.
-
C.
John Rose
John Rose is a Republican U.S. Representative from Tennessee who serves in the House of Representatives.
-
D.
George Moran
George Moran is an American physician best known as the husband of journalist and author Tatiana Schlossberg, the granddaughter of President John F. Kennedy.
-
E.
Michael Hamlyn
Michael Hamlyn is a film producer best known for his work on the acclaimed Australian comedy-drama "The Adventures of Priscilla, Queen of the Desert."
- 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_69ca828dec0c81908b8f55a4dbbb53ff |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3a5c85ac81908de2ca387826ea2f |
completed | March 31, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbdfe21f9081909d45565867ac7436 |
completed | March 31, 2026, 2:53 p.m. |
Created at: March 30, 2026, 5:03 p.m.