Triple
T1631345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mike Holmes |
E35262
|
entity |
| Predicate | hasEmployer |
P7
|
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: [Mike Holmes, hasEmployer, HGTV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HGTV Context triple: [Mike Holmes, hasEmployer, 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.
Fixer Upper
"Fixer Upper" is a comedic musical number from Disney's animated film Frozen, performed by the trolls as they playfully encourage a romantic match between Anna and Kristoff.
-
D.
DIY
DIY is the commonly used abbreviation for Daerah Istimewa Yogyakarta, a special administrative region and cultural center on the island of Java in Indonesia.
-
E.
HTG
HTG is the three-letter ISO 4217 currency code for the Haitian gourde, the official currency of Haiti.
- 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_69a886036bc081909ff5de16dbe5e8ea |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a909f5ae98819091ce5e00eb4256a2 |
completed | March 5, 2026, 4:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad58d79bc88190bfc62f53dd8e8b90 |
completed | March 8, 2026, 11:09 a.m. |
Created at: March 4, 2026, 7:28 p.m.