Triple
T20771514
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katy Brand |
E511247
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Brand |
—
|
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: Brand | Statement: [Katy Brand, familyName, Brand]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brand Context triple: [Katy Brand, familyName, Brand]
-
A.
Brand
Brand is a key astronaut and scientist in the film "Interstellar," serving as one of the central figures in humanity's mission to find a new habitable world.
-
B.
Brand
chosen
Brand is a verse drama by Norwegian playwright Henrik Ibsen that explores the moral absolutism and tragic consequences of its idealistic priest protagonist.
-
C.
Brandbu
Brandbu is a village in Gran Municipality in Innlandet county, Norway, known as a local commercial and service center in the Hadeland district.
-
D.
Marca
Marca is a leading Spanish national daily sports newspaper best known for its extensive football coverage and creation of awards such as the Pichichi Trophy.
-
E.
Brand Nu
Brand Nu is a music record label associated with the artist or group known as B7.
- 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_69e0b4ca01148190ac018e57e0cab46f |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c266f4b48190891c0db3e322bb23 |
completed | April 21, 2026, 12:18 a.m. |
Created at: April 16, 2026, 12:36 p.m.