Triple
T12774982
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hazel Motes |
E305343
|
entity |
| Predicate | hasRelationshipWith |
P2830
|
FINISHED |
| Object | Sabbath Lily Hawks |
E305345
|
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: Sabbath Lily Hawks | Statement: [Hazel Motes, hasRelationshipWith, Sabbath Lily Hawks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sabbath Lily Hawks Context triple: [Hazel Motes, hasRelationshipWith, Sabbath Lily Hawks]
-
A.
Sabbath Lily Hawks
chosen
Sabbath Lily Hawks is a provocative and manipulative young girl in Flannery O’Connor’s novel *Wise Blood*, who becomes entangled with the anti-hero Hazel Motes in his struggle against faith and redemption.
-
B.
Lysianka
Lysianka is an urban-type settlement in central Ukraine that serves as a local administrative and cultural center within Cherkasy Oblast.
-
C.
Plumetot
Plumetot is a small commune in the Calvados department of the Normandy region in northwestern France.
-
D.
Phaenarete
Phaenarete was an Athenian midwife best known as the mother of the philosopher Socrates.
-
E.
Frosine
Frosine is a clever, manipulative go-between and matchmaker in Molière’s comedy "L’Avare," known for scheming to her own advantage.
- 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_69d7bdf2b43c819098ae5aa68e61ea58 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96df6b3c88190b0bbe70de8ddcbf3 |
completed | April 10, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684fee60c81909245d4d70c9338c0 |
completed | May 2, 2026, 11:13 p.m. |
Created at: April 9, 2026, 5:29 p.m.