Triple
T19663551
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Bottom |
E472142
|
entity |
| Predicate | closelyAssociatedWithCharacter |
P76158
|
FINISHED |
| Object | Hannah Peace |
—
|
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: Hannah Peace | Statement: [the Bottom, closelyAssociatedWithCharacter, Hannah Peace]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Peace Context triple: [the Bottom, closelyAssociatedWithCharacter, Hannah Peace]
-
A.
Hannah Peace
chosen
Hannah Peace is a free-spirited, sensual, and unconventional woman in Toni Morrison’s novel "Sula," known for her complex relationship with her daughter and her defiance of traditional social norms.
-
B.
Hannah
Hannah is an alternative name or alias for the individual known as Anne.
-
C.
Hannah
Hannah is a feminine given name of Hebrew origin meaning "grace" or "favor," widely used in many English-speaking and international cultures.
-
D.
Hannah
Hannah is the introspective, commitment-averse young woman at the center of the mumblecore film "Hannah Takes the Stairs," whose romantic indecision drives the movie’s exploration of twentysomething relationships.
-
E.
Hannah
Hannah is a key ally of Commander Schultz, likely playing an important supportive or collaborative role in his missions or objectives.
- 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_69d8e514f2e08190ba70a4449519d218 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6416671fc81908e25b0477234fa0f |
completed | April 20, 2026, 3:08 p.m. |
Created at: April 10, 2026, 1:45 p.m.