Triple
T14372598
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Misfit Ray |
E356391
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Misfit app |
E72275
|
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: Misfit app | Statement: [Misfit Ray, connectsTo, Misfit app]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Misfit app Context triple: [Misfit Ray, connectsTo, Misfit app]
-
A.
Misfit
chosen
Misfit is a wearable technology and fitness-tracking brand known for its minimalist activity trackers and smartwatches.
-
B.
Applegate
Applegate is a natural and organic meat and cheese brand known for its minimally processed products and commitment to animal welfare.
-
C.
Applegate
Applegate is the surname of American actress Christina Applegate, known for her roles in television and film.
-
D.
Loai Nofi
Loai Nofi is an actor best known for his role in the film "Zaytoun."
-
E.
Appar
Appar was a prominent 7th-century Tamil Shaivite saint and poet whose devotional hymns greatly shaped the Bhakti movement in South India.
- 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_69d8279163a081908aec45c0e3f1e02f |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8fb2082c8190b42cc5f2bab4f574 |
completed | April 14, 2026, 7:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd4c5363a081909681b54c1d8218dc |
completed | May 8, 2026, 2:37 a.m. |
Created at: April 10, 2026, 1:15 a.m.