Triple
T18088701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara Louise Stone |
E432908
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Clara |
—
|
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: Clara | Statement: [Clara Louise Stone, givenName, Clara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Context triple: [Clara Louise Stone, givenName, Clara]
-
A.
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.
-
B.
Clara
Clara is the central female protagonist of Pedro Almodóvar’s 1997 Spanish drama film "Live Flesh," around whom much of the film’s emotional and narrative tension revolves.
-
C.
Clara
chosen
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
-
D.
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.
-
E.
Clara
Clara is a small Irish town located in County Offaly, known historically for its milling industry and proximity to the River Brosna.
- 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_69d8b907d05c819083cc3bd6021089e6 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dd16e2148190a63cc981898e8ade |
completed | April 19, 2026, 1:48 p.m. |
Created at: April 10, 2026, 10:27 a.m.