Triple
T11222121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clare Bennett |
E265594
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | King Shaw |
E228246
|
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: King Shaw | Statement: [Clare Bennett, associatedWith, King Shaw]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King Shaw Context triple: [Clare Bennett, associatedWith, King Shaw]
-
A.
King Shaw
chosen
King Shaw is a character from the classic Hollywood musical film "Broadway Melody of 1940," set in the world of song-and-dance entertainment.
-
B.
Bitte Kinnaman
Bitte Kinnaman is the mother of Swedish-American actor Joel Kinnaman.
-
C.
Rao Sahib
Rao Sahib was a prominent leader in the Indian Rebellion of 1857, known especially for his role in directing rebel forces in central India.
-
D.
Sundar Popo
Sundar Popo was a pioneering Trinidadian singer widely credited with popularizing chutney music by blending Indian folk traditions with Caribbean musical styles.
-
E.
Waltair
Waltair is a historic coastal locality in Visakhapatnam, India, known for its colonial-era institutions, beaches, and residential neighborhoods.
- 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_69d6aac59460819089b9848b27f57848 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e8ec8fb08190b27144ab65f85957 |
completed | April 9, 2026, 5:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e4977cab4481909c6b94ca07cd5e4a |
completed | April 19, 2026, 8:51 a.m. |
Created at: April 8, 2026, 9:30 p.m.