Triple
T19006126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hester Dewsbury |
E465088
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Hester |
—
|
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: Hester | Statement: [Hester Dewsbury, givenName, Hester]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hester Context triple: [Hester Dewsbury, givenName, Hester]
-
A.
Hester
Hester is a central character in D.H. Lawrence's short story "The Rocking-Horse Winner," portrayed as a materialistic mother whose emotional detachment and obsession with wealth drive the tragic events of the narrative.
-
B.
Hester
chosen
Hester is a given name used as the first name of the individual Hester Mahieu.
-
C.
Hester
Hester is the loyal Arctic hare dæmon of aeronaut Lee Scoresby in Philip Pullman’s His Dark Materials series.
-
D.
Hester Pitt
Hester Pitt was a daughter of British statesman William Pitt the Elder, belonging to a prominent 18th-century political family.
-
E.
Hester Harper
Hester Harper is the psychologically complex, reclusive protagonist of Elizabeth Jolley’s novel "The Well," whose intense relationship with her young companion drives the story’s unsettling exploration of power, dependence, and moral ambiguity.
- 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a494688190a277b2cddf300235 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.