Triple
T1361721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hannah Arendt |
E29111
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hannah |
E112936
|
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: Hannah | Statement: [Hannah Arendt, givenName, Hannah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hannah Context triple: [Hannah Arendt, givenName, Hannah]
-
A.
Hannah
Hannah is a compassionate Jewish laundress and the love interest of the Jewish Barber in Charlie Chaplin’s 1940 satirical film "The Great Dictator."
-
B.
Hannah
chosen
Hannah is a biblical figure in the Book of 1 Samuel known for her fervent prayer for a child and as the mother of the prophet Samuel.
-
C.
Hannah
Hannah is a person associated in some way with the city of Santa Ana, California.
-
D.
Hannah Peace
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.
-
E.
Hannah Gurney
Hannah Gurney was a member of the prominent Quaker Gurney family of Norwich, known for her connections to leading 19th-century British social reformers.
- 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_69a498d77abc8190913bf57e5f51d2c4 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c2b2fb448190bef31375169b4666 |
completed | March 1, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad01518d5481908cf14b24dde8342b |
completed | March 8, 2026, 4:55 a.m. |
Created at: March 1, 2026, 7:57 p.m.