Triple
T18724755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Benjamin Chess |
E457870
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Jeff Wu |
—
|
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: Jeff Wu | Statement: [Benjamin Chess, coAuthorWith, Jeff Wu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeff Wu Context triple: [Benjamin Chess, coAuthorWith, Jeff Wu]
-
A.
Jeff Wu
Jeff Wu is a machine learning researcher known for his work on large language models, including co-authoring the original GPT-2 paper at OpenAI.
-
B.
Louis Wu
Louis Wu is a central human protagonist in Larry Niven’s Known Space science fiction series, best known for his role in the novel "Ringworld."
-
C.
Leo Wu
Leo Wu is a popular Chinese actor known for his roles in historical and fantasy television dramas and films.
-
D.
Jeffrey Wu
Jeffrey Wu is a researcher in artificial intelligence and machine learning, known for his contributions to large language models and few-shot learning.
-
E.
Richard Cheng
Richard Cheng is a character in the "Crazy Rich Asians" universe, known as the wealthy, old-money uncle of Nick Young.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d72d2c4819080b0d31860976b5e |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.