Triple
T15358424
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peter Rabbit (film score) |
E367222
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Bea |
E567525
|
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: Bea | Statement: [Peter Rabbit (film score), featuresCharacter, Bea]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bea Context triple: [Peter Rabbit (film score), featuresCharacter, Bea]
-
A.
Bea
chosen
Bea is a common diminutive form of the given name Beatrice, often used as a familiar or affectionate nickname.
-
B.
Bebe
Bebe is a contemporary women's fashion brand known for its trendy, body-conscious clothing and accessories.
-
C.
Bebe
Bebe is the nickname of Bebe Neuwirth, the American actress, singer, and dancer best known for her Tony-winning Broadway roles and her portrayal of Lilith Sternin on the TV series "Cheers" and "Frasier."
-
D.
Bebe
Bebe is the nickname of Mary “Bebe” Hunt Kemper, a woman known primarily in relation to the Kemper family.
-
E.
Becca
Becca is a central character in the 2015 horror film "The Visit," a teenage girl who documents her and her brother’s unsettling stay with their estranged grandparents.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2d4934819097fc63603964217c |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b47f20081909ef7b077458d1510 |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.