Triple
T5752051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barbieland |
E126875
|
entity |
| Predicate | hasNotableResident |
P1092
|
FINISHED |
| Object | Physicist Barbie |
E25542
|
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: Physicist Barbie | Statement: [Barbieland, hasNotableResident, Physicist Barbie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Physicist Barbie Context triple: [Barbieland, hasNotableResident, Physicist Barbie]
-
A.
Barbie
chosen
Barbie is a 2023 fantasy-comedy film directed by Greta Gerwig that reimagines the iconic Mattel doll in a satirical, self-aware story exploring gender roles, identity, and consumer culture.
-
B.
Evelyn Einstein
Evelyn Einstein was the adopted granddaughter of physicist Albert Einstein, known for her later-life legal disputes over the use of the Einstein name and image.
-
C.
Dinah Doll
Dinah Doll is a character from the children's franchise "Noddy," known as one of Noddy's close friends in Toyland.
-
D.
Mrs. Met
Mrs. Met is the female mascot of the New York Mets baseball team, often depicted alongside Mr. Met as his wife and partner in team promotions and ballpark entertainment.
-
E.
Barbara
Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c07e3e71988190a938a6d175023028 |
completed | March 22, 2026, 11:41 p.m. |
Created at: March 22, 2026, 3:48 p.m.