Triple
T18338941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jen Taylor |
E439347
|
entity |
| Predicate | notableCharacter |
P1481
|
FINISHED |
| Object | Cortana |
—
|
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: Cortana | Statement: [Jen Taylor, notableCharacter, Cortana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cortana Context triple: [Jen Taylor, notableCharacter, Cortana]
-
A.
Cortana
chosen
Cortana is an advanced artificial intelligence from the Halo video game series who serves as a key companion and strategist to the Master Chief within the United Nations Space Command.
-
B.
Cortana (historically)
Cortana is Microsoft's discontinued intelligent personal assistant that provided voice-controlled search, productivity, and integration features across Windows and other Microsoft services.
-
C.
Bixby
Bixby is a suburban city in northeastern Oklahoma, known for its rapid growth and agricultural roots within the Tulsa metropolitan area.
-
D.
Bixby
Bixby is an English-language surname borne by various notable individuals in entertainment, sports, and other fields.
-
E.
Bixby
Bixby is Samsung's proprietary virtual assistant designed to enable voice control, smart device integration, and contextual assistance across the company's ecosystem of products.
- 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_69d8b9175fec8190af865699b4e64d8c |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50ed07db48190a15e957c96b1c5bf |
completed | April 19, 2026, 5:20 p.m. |
Created at: April 10, 2026, 10:37 a.m.