Triple
T5002903
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clara Bow |
E112414
|
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 Bow, givenName, Clara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clara Context triple: [Clara Bow, givenName, Clara]
-
A.
Clara
chosen
Clara is a feminine given name of Latin origin, derived from "clarus" meaning "bright" or "famous."
-
B.
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.
-
C.
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.
-
D.
Lucile
Lucile is a popular 1860 verse novel by British writer Edward Bulwer-Lytton, known for its romantic plot and melodramatic style.
-
E.
Lucile
Lucile is a feminine given name of Latin origin, commonly associated with the name Lucille and meaning "light."
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72c062d08190b755fa7461839f52 |
completed | March 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be925dc93c819093750a4d5049ae55 |
completed | March 21, 2026, 12:43 p.m. |
Created at: March 20, 2026, 1:35 p.m.