Triple
T12173516
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara Hughes |
E290032
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clara |
E94446
|
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: Clara | Statement: [Clara Hughes, givenName, Clara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Context triple: [Clara Hughes, givenName, Clara]
-
A.
Clara
Clara is a character in the American folk opera "Porgy and Bess," known as a young mother whose lullaby "Summertime" is one of the work’s most famous songs.
-
B.
Clara
chosen
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
-
C.
Clara
Clara is a small Irish town located in County Offaly, known historically for its milling industry and proximity to the River Brosna.
-
D.
Clara
Clara is the young heroine of Tchaikovsky’s ballet "The Nutcracker," whose magical Christmas Eve adventure begins when her toy nutcracker comes to life.
-
E.
Κλάρος
Κλάρος (Claros) is an ancient Greek sanctuary in Ionia renowned for its oracle of Apollo, where the god was worshipped along with his mother Leto and sister Artemis.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915dab42881908e2580c631d4d1cf |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6a6de3081908e5e0030c081d5a4 |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:50 p.m.