Triple
T18926092
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Logan |
E462973
|
entity |
| Predicate | enemy |
P4567
|
FINISHED |
| Object | Martha Logan |
—
|
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: Martha Logan | Statement: [Charles Logan, enemy, Martha Logan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Martha Logan Context triple: [Charles Logan, enemy, Martha Logan]
-
A.
Martha Logan
chosen
Martha Logan is a fictional First Lady of the United States on the television series "24," known for her troubled marriage to President Charles Logan and her moral opposition to his corrupt actions.
-
B.
Mildred Washington
Mildred Washington was an early 20th-century African American stage and film actress known for her performances during the Harlem Renaissance era.
-
C.
Martha Martin
Martha Martin was the first wife of prominent 19th-century American politician and senator Stephen A. Douglas.
-
D.
Beth Grant
Beth Grant is an American character actress known for her prolific work in film and television, often portraying strict, eccentric, or morally rigid supporting characters.
-
E.
Laura Dearborn
Laura Dearborn is a central character in Frank Norris’s novel "The Pit," portrayed as a cultured young woman whose romantic and moral struggles unfold against the backdrop of Chicago’s speculative wheat market.
- 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_69d8dcfdbbb881909964fa5a75bd0b48 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c9b94e008190a0e9a70aaf6d18ed |
completed | April 20, 2026, 6:37 a.m. |
Created at: April 10, 2026, 11:59 a.m.