Triple
T8084915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Everywhere I Look |
E188705
|
entity |
| Predicate | workOf |
P4
|
FINISHED |
| Object | Helen Garner |
E35895
|
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: Helen Garner | Statement: [Everywhere I Look, workOf, Helen Garner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Garner Context triple: [Everywhere I Look, workOf, Helen Garner]
-
A.
Helen Garner
chosen
Helen Garner is an acclaimed Australian novelist, short story writer, and journalist known for her incisive explorations of everyday life, relationships, and moral complexity.
-
B.
Christina Stead
Christina Stead was an Australian novelist renowned for her psychologically complex, socially incisive fiction, particularly the acclaimed novel "The Man Who Loved Children."
-
C.
Anita Heiss
Anita Heiss is an Australian Wiradjuri author, academic, and advocate known for her contributions to Indigenous literature and commentary on Aboriginal identity and representation.
-
D.
Kate Ashfield
Kate Ashfield is a British actress best known for her role as Liz in the cult zombie comedy film "Shaun of the Dead."
-
E.
A. L. Kennedy
A. L. Kennedy is a Scottish writer and stand-up comedian known for her darkly comic, psychologically incisive fiction and essays.
- 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_69ca82b662e88190b9323daab8c28a21 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb415f73808190b69db386b447062e |
completed | March 31, 2026, 3:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cde709d3188190b3a954a613c3c5b2 |
completed | April 2, 2026, 3:48 a.m. |
Created at: March 30, 2026, 5:29 p.m.