Triple
T21680704
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | QDIII |
E535099
|
entity |
| Predicate | founded |
P104
|
FINISHED |
| Object | WeMash |
—
|
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: WeMash | Statement: [QDIII, founded, WeMash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WeMash Context triple: [QDIII, founded, WeMash]
-
A.
WeMash
chosen
WeMash is a digital media platform and company focused on enabling the licensing, remixing, and monetization of video content.
-
B.
Shazbot
Shazbot is a humorous expletive-like catchphrase popularized by the character Mork, played by Robin Williams, on the television sitcom "Mork & Mindy."
-
C.
LIRI
LIRI is a research institute dedicated to the academic study of Buddhism and related disciplines, particularly in connection with the Lumbini heritage site in Nepal.
-
D.
Brandy
Brandy is a kind-hearted love interest and central character in the comedy film "Joe Dirt," known for her loyalty and down-to-earth personality.
-
E.
Brandy
Brandy is an American R&B singer, songwriter, and actress known for her distinctive vocal style and hits such as "The Boy Is Mine" and "Have You Ever?".
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef8a12adf08190b9b450eb26a1f33c |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 16, 2026, 6:43 p.m.