Triple
T18963440
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Killer Angels |
E463968
|
entity |
| Predicate | author |
P4
|
FINISHED |
| Object | Michael Shaara |
—
|
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: Michael Shaara | Statement: [The Killer Angels, author, Michael Shaara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Shaara Context triple: [The Killer Angels, author, Michael Shaara]
-
A.
Michael Shaara
chosen
Michael Shaara was an American author best known for his Pulitzer Prize–winning Civil War novel "The Killer Angels," which inspired the film "Gettysburg."
-
B.
Arthur T. Horman
Arthur T. Horman was an American screenwriter active during Hollywood’s classic era, known for crafting scripts for adventure and war films.
-
C.
Walter Lord
Walter Lord was an American historian and author best known for his meticulously researched narrative account of the Titanic disaster, "A Night to Remember."
-
D.
Bruce Catton
Bruce Catton was an American historian and Pulitzer Prize–winning author best known for his popular and influential books on the American Civil War.
-
E.
Stephen E. Ambrose
Stephen E. Ambrose was an American historian and biographer best known for his popular works on World War II and the U.S. presidency.
- 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_69d8dcffc278819086792a4ebfddfafa |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5d420f481909aa22a0d22ac4af1 |
completed | April 20, 2026, 7:29 a.m. |
Created at: April 10, 2026, noon