Triple
T14529474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobinôt |
E340865
|
entity |
| Predicate | parentOf |
P120
|
FINISHED |
| Object | Bibi |
E340868
|
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: Bibi | Statement: [Bobinôt, parentOf, Bibi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bibi Context triple: [Bobinôt, parentOf, Bibi]
-
A.
Bibi
chosen
Bibi is a character from the animated series "The Storm," known for her distinctive personality and role within the show's central storyline.
-
B.
Bibi Viro
Bibi Viro was a revered Sikh woman of the early 17th century, known in Sikh tradition as a devout and influential member of Guru Hargobind’s family.
-
C.
Bebel
Bebel is the Brazilian-American singer and songwriter Bebel Gilberto, known for her modern bossa nova and electronic-influenced music.
-
D.
Bisma
Bisma is a central character in the British sitcom "We Are Lady Parts," known as the band's calm, hijabi bassist and a devoted mother balancing her art with family life.
-
E.
Bebe
Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
- 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_69d822dac79c8190a84a073f3cbaced5 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dea051bc608190ad4d516c5e7bca43 |
completed | April 14, 2026, 8:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd7a547c408190a1a19e12aac1d5bd |
completed | May 8, 2026, 5:53 a.m. |
Created at: April 10, 2026, 1:22 a.m.