Triple
T2980521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flannery O'Connor |
E80497
|
entity |
| Predicate | hasGivenName |
P17
|
FINISHED |
| Object | Flannery |
E80497
|
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: Flannery | Statement: [Flannery O'Connor, hasGivenName, Flannery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flannery Context triple: [Flannery O'Connor, hasGivenName, Flannery]
-
A.
Flannery
chosen
Flannery is the given name of Flannery O'Connor, the influential American writer known for her Southern Gothic short stories and novels.
-
B.
Falkner
Falkner is a lesser-known 1837 novel by Mary Shelley that explores themes of guilt, redemption, and complex family relationships.
-
C.
O’Flaherty
O’Flaherty is the birth surname of American author Kate Chopin, known for her pioneering works of feminist literature in the late 19th century.
-
D.
O'Laughlen
O'Laughlen is an Irish surname historically associated with families of Gaelic origin.
-
E.
O'Nolan
O'Nolan is an Irish surname, often associated with notable literary and historical figures from Ireland.
- 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_69ad8b15f6ac8190be5fd16a33edcb4f |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad999e91788190a2d430dd0600a660 |
completed | March 8, 2026, 3:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b12e31a8188190bd5ad6c9757e7141 |
completed | March 11, 2026, 8:56 a.m. |
Created at: March 8, 2026, 2:58 p.m.