Triple
T14839179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Research Group |
E348911
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Steve Baker |
E192424
|
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: Steve Baker | Statement: [European Research Group, hasMember, Steve Baker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Baker Context triple: [European Research Group, hasMember, Steve Baker]
-
A.
Steve Baker
chosen
Steve Baker is a British Conservative politician and prominent Eurosceptic known for his leading role in advocating for Brexit.
-
B.
Alan Baker
Alan Baker was a British mathematician renowned for his groundbreaking work in number theory, particularly transcendental number theory, for which he received the Fields Medal in 1970.
-
C.
Alan Baker
Alan Baker is the charming, carefree bachelor protagonist of Neil Simon's comedy "Come Blow Your Horn," whose lifestyle and relationships drive the play's central conflicts and humor.
-
D.
John Leeson
John Leeson is a British actor best known for voicing the robotic dog K-9 in the Doctor Who television franchise.
-
E.
Geoffrey Haslam
Geoffrey Haslam is a record producer best known for his work on Bette Midler’s debut album "The Divine Miss M."
- 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_69d822ec69008190a9232caa68836872 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69ded28e40f08190b309d8ac6404d2fc |
completed | April 14, 2026, 11:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe38a813b881908a71350073c8fc5c |
completed | May 8, 2026, 7:25 p.m. |
Created at: April 10, 2026, 1:52 a.m.