Triple
T14530344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ambrose Bierce |
E340893
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Day Bierce
Day Bierce was the son of American writer and satirist Ambrose Bierce.
|
E1104288
|
NE FINISHED |
How this triple was built (4 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: Day Bierce | Statement: [Ambrose Bierce, hasChild, Day Bierce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Day Bierce Context triple: [Ambrose Bierce, hasChild, Day Bierce]
-
A.
The Colonel
The Colonel is the traditional mascot figure representing Eastern Kentucky University's athletic teams and school spirit.
-
B.
The Colonel
The Colonel is the ruthless, fanatical human military leader and main antagonist who wages a brutal war against Caesar and his apes in *War for the Planet of the Apes*.
-
C.
The Colonel
The Colonel was the nickname of Colonel Tom Parker, the influential and controversial music manager best known for guiding Elvis Presley’s career.
-
D.
The Little Yank
The Little Yank is a 1917 silent American comedy-drama film starring Dorothy Gish and directed by George Siegmann.
-
E.
Deadeye Dick
Deadeye Dick is a darkly comic novel by Kurt Vonnegut that follows the life of a man haunted by a tragic childhood accident and explores themes of guilt, fate, and the absurdity of modern American life.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Day Bierce Triple: [Ambrose Bierce, hasChild, Day Bierce]
Generated description
Day Bierce was the son of American writer and satirist Ambrose Bierce.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Day Bierce Target entity description: Day Bierce was the son of American writer and satirist Ambrose Bierce.
-
A.
The Colonel
The Colonel is the traditional mascot figure representing Eastern Kentucky University's athletic teams and school spirit.
-
B.
The Colonel
The Colonel is the ruthless, fanatical human military leader and main antagonist who wages a brutal war against Caesar and his apes in *War for the Planet of the Apes*.
-
C.
The Colonel
The Colonel was the nickname of Colonel Tom Parker, the influential and controversial music manager best known for guiding Elvis Presley’s career.
-
D.
The Little Yank
The Little Yank is a 1917 silent American comedy-drama film starring Dorothy Gish and directed by George Siegmann.
-
E.
Deadeye Dick
Deadeye Dick is a darkly comic novel by Kurt Vonnegut that follows the life of a man haunted by a tragic childhood accident and explores themes of guilt, fate, and the absurdity of modern American life.
- F. None of above. chosen
Provenance (5 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea052d01c81909c8592c351be6f35 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a547c408190a1a19e12aac1d5bd |
completed | May 8, 2026, 5:53 a.m. |
| NEDg | Description generation | batch_69fd7be2dc0c8190b8950a1f43ce13ab |
completed | May 8, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd7c6422e08190b149efdf58c3572a |
completed | May 8, 2026, 6:02 a.m. |
Created at: April 10, 2026, 1:22 a.m.