Triple
T19983106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Helen Lyndon Goff |
E493865
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Goff |
—
|
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: Goff | Statement: [Helen Lyndon Goff, familyName, Goff]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Goff Context triple: [Helen Lyndon Goff, familyName, Goff]
-
A.
Goff
chosen
Goff is a surname most notably associated with Bruce Goff, an innovative American architect known for his unconventional and organic designs.
-
B.
Davis-Goff
Davis-Goff is the surname of Irish-born writer and screenwriter Annabel Davis-Goff, known for her novels and memoirs often set in Anglo-Irish society.
-
C.
Goffa
Goffa is an alternative name for the Gofa people and their language, an ethnic group primarily found in southern Ethiopia.
-
D.
Griese
Griese is a surname most prominently associated with Bob Griese, the Hall of Fame American football quarterback.
-
E.
Nodell
Nodell is a surname most notably associated with Martin Nodell, the American comic book artist who co-created the original Green Lantern for DC Comics.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65d14c3c08190b1ba8f4da08a4ccf |
completed | April 20, 2026, 5:06 p.m. |
Created at: April 11, 2026, 3:28 p.m.