Triple
T22797641
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konnie Huq |
E564292
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Konnie Huq |
—
|
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: Konnie Huq | Statement: [Konnie Huq, name, Konnie Huq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konnie Huq Context triple: [Konnie Huq, name, Konnie Huq]
-
A.
Konnie Huq
chosen
Konnie Huq is a British television presenter and writer best known for being the longest-serving female host of the children's show "Blue Peter."
-
B.
Siena Agudong
Siena Agudong is an American actress known for her roles in family and genre television series and films, including a key part in the 2022 Resident Evil TV adaptation.
-
C.
Tasya Vos
Tasya Vos is the emotionally detached, body-hopping assassin protagonist of Brandon Cronenberg’s 2020 science fiction horror film "Possessor."
-
D.
Tini Beg
Tini Beg was a 14th-century khan of the Golden Horde, known for his brief and turbulent reign during the empire’s period of fragmentation.
-
E.
Tasya van Ree
Tasya van Ree is an American artist and photographer known for her black-and-white portraits and conceptual work, as well as her involvement in the Los Angeles art scene.
- 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_69e2458185f88190b0045227ee420411 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17cda76448190891c5190e1d75ae0 |
completed | April 29, 2026, 3:36 a.m. |
Created at: April 17, 2026, 3:30 p.m.