Triple
T1223160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kristin Chenoweth |
E26268
|
entity |
| Predicate | twitterUsername |
P2943
|
FINISHED |
| Object | KChenoweth |
E139557
|
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: KChenoweth | Statement: [Kristin Chenoweth, twitterUsername, KChenoweth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KChenoweth Context triple: [Kristin Chenoweth, twitterUsername, KChenoweth]
-
A.
Chenoweth
chosen
Chenoweth is a surname most prominently associated with American actress and singer Kristin Chenoweth, known for her work in musical theatre, television, and film.
-
B.
Gwen May-Wan Kao
Gwen May-Wan Kao is best known as the wife and long-time partner of Nobel Prize–winning physicist Charles K. Kao, often recognized for supporting his pioneering work in fiber-optic communications.
-
C.
Vivian Chan
Vivian Chan is a personal name shared by multiple individuals, including professionals in fields such as science, media, and business.
-
D.
John Cheng
John Cheng is a film producer best known for his work on the dark comedy movie "Horrible Bosses."
-
E.
Cathy Zhang
Cathy Zhang is a Chinese entrepreneur best known as a founder of the multinational technology conglomerate Alibaba Group.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be21a2bc819094b47580d7c5cdf8 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a0d69f88190b3352016289b4a18 |
completed | March 7, 2026, 8:26 p.m. |
Created at: March 1, 2026, 7:47 p.m.