Triple
T20063491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Essie Davis |
E499545
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cloudstreet |
—
|
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: Cloudstreet | Statement: [Essie Davis, notableWork, Cloudstreet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cloudstreet Context triple: [Essie Davis, notableWork, Cloudstreet]
-
A.
Cloudstreet
chosen
Cloudstreet is a celebrated Australian television miniseries adaptation of Tim Winton’s novel, depicting the intertwined lives of two working-class families sharing a large house in mid-20th-century Perth.
-
B.
City of Swan
The City of Swan is a local government area in the northeastern metropolitan region of Perth, Western Australia, encompassing a mix of urban, rural, and historic townsites.
-
C.
Eureka Street
Eureka Street is a residential street in San Francisco’s Eureka Valley neighborhood, known for its steep grades and classic city views.
-
D.
Eureka Street
Eureka Street is a British television drama series known for its gritty portrayal of life, politics, and sectarian tensions in late-1990s Belfast.
-
E.
Tirra Lirra
Tirra Lirra is a children's book by Laura E. Richards, best known for its whimsical, lyrical storytelling.
- 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e66377b6b48190a0a37279f285123e |
completed | April 20, 2026, 5:33 p.m. |
Created at: April 11, 2026, 3:39 p.m.