Triple
T970390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max |
E20930
|
entity |
| Predicate | hasContentFrom |
P22683
|
FINISHED |
| Object | HGTV |
E52601
|
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: HGTV | Statement: [Max, hasContentFrom, HGTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HGTV Context triple: [Max, hasContentFrom, HGTV]
-
A.
HGTV
chosen
HGTV is an American cable television network focused on home improvement, real estate, and interior design programming.
-
B.
Better Homes and Gardens
Better Homes and Gardens is a long-running American lifestyle magazine and brand focused on home décor, gardening, cooking, and family living.
-
C.
GNT
GNT is an abbreviation for the Good News Translation, a modern English Bible version known for its clear, easy-to-understand language.
-
D.
MTV Cribs
MTV Cribs is a reality television series that showcases tours of celebrities’ homes, highlighting their lavish lifestyles and personal spaces.
-
E.
Animal Planet
Animal Planet is a cable television network focused on programming about animals, wildlife, and nature.
- 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_69a493b33d2c81909c52c369d3ca8436 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b75103688190a14342eef3842984 |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1707339081909c69c7c613eed383 |
completed | March 7, 2026, 12:16 p.m. |
Created at: March 1, 2026, 7:40 p.m.