Triple
T4626504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | In the Mix |
E101109
|
entity |
| Predicate | featuresMobFamily |
P57512
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [In the Mix, featuresMobFamily, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMobFamily Context triple: [In the Mix, featuresMobFamily, true]
-
A.
featuresFamily
Indicates that something includes, presents, or highlights a family as a central element or subject.
-
B.
featuresDevice
Indicates that one entity includes, incorporates, or provides the other entity as a device within it or as part of its functionality.
-
C.
featuresSuit
Indicates that one entity includes or presents a particular suit (e.g., clothing, armor, or outfit) as a notable component or attribute.
-
D.
productFamily
Indicates that one product belongs to, or is categorized under, a broader product family or line.
-
E.
usedInDeviceFamily
Indicates that something (such as a component, technology, or feature) is employed or incorporated within a particular family of related devices.
- F. None of above. chosen
Provenance (4 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| PD | Predicate disambiguation | batch_69bd5231db7c8190b38d4fdbad8bf842 |
completed | March 20, 2026, 1:57 p.m. |
| PDg | Predicate description generation | batch_69bd56b5f4648190834eafa666d53caa |
completed | March 20, 2026, 2:16 p.m. |
Created at: March 20, 2026, 1:13 p.m.