Triple
T23459228
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Logo TV |
E568919
|
entity |
| Predicate | formerName |
P65
|
FINISHED |
| Object | Logo |
—
|
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: Logo | Statement: [Logo TV, formerName, Logo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Logo Context triple: [Logo TV, formerName, Logo]
-
A.
Logo
Logo is an educational programming language known for its turtle graphics, designed to help learners explore mathematical and computational ideas through simple commands.
-
B.
Logo
chosen
Logo is an American cable television channel that primarily targets LGBTQ+ audiences with a mix of original series, films, and reality programming.
-
C.
The Logo
The Logo is the famous nickname of NBA legend Jerry West, referencing his iconic silhouette used in the league’s official logo.
-
D.
Logo people
The Logo people are an ethnic group of Central Africa, primarily living in parts of the Democratic Republic of the Congo and South Sudan, known for their distinct cultural traditions and language.
-
E.
Logo language
Logo is a Central Sudanic language spoken in parts of South Sudan and the Democratic Republic of the Congo.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a699c0088190a84d7a495a3e3d61 |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:53 p.m.