Triple
T14636808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet Home men |
E343627
|
entity |
| Predicate | associatedWithCharacter |
P1481
|
FINISHED |
| Object | Sethe |
E68912
|
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: Sethe | Statement: [Sweet Home men, associatedWithCharacter, Sethe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sethe Context triple: [Sweet Home men, associatedWithCharacter, Sethe]
-
A.
Sethe
chosen
Sethe is the formerly enslaved protagonist of Toni Morrison's novel "Beloved," haunted by the trauma of her past and the ghost of the daughter she killed.
-
B.
Beloved
Beloved is a 1998 psychological horror drama film, based on Toni Morrison’s novel, in which Thandiwe Newton plays the mysterious, ghostly young woman who upends a former slave’s fragile new life.
-
C.
Beloved
"Beloved" is a critically acclaimed novel by Toni Morrison that explores the haunting legacy of slavery through the story of a formerly enslaved woman and her family.
-
D.
Sula
Sula is a 1973 novel by American author Toni Morrison that explores Black female friendship, community, and identity in a small Ohio town.
-
E.
Sula
Sula is a coastal municipality in Møre og Romsdal county, Norway, known for its fishing industry, maritime heritage, and scenic island landscapes.
- 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_69d822dffc3c8190aa173b90761bffda |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb4ab9578819085b4cf7244d30d87 |
completed | April 14, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fda934ec3c81909eb3c3a54260436b |
completed | May 8, 2026, 9:13 a.m. |
Created at: April 10, 2026, 1:26 a.m.