Triple
T853533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Lee Woods |
E18439
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | University of Manchester Computing Machine Laboratory |
E33
|
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: University of Manchester Computing Machine Laboratory | Statement: [Mary Lee Woods, employer, University of Manchester Computing Machine Laboratory]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: University of Manchester Computing Machine Laboratory Context triple: [Mary Lee Woods, employer, University of Manchester Computing Machine Laboratory]
-
A.
University of Manchester
chosen
The University of Manchester is a major public research university in Manchester, England, renowned for its contributions to science, engineering, and innovation.
-
B.
Cavendish Laboratory
Cavendish Laboratory is the University of Cambridge’s historic physics research center, renowned for groundbreaking discoveries such as the structure of DNA and the electron.
-
C.
Cambridge Engineering Design Centre
The Cambridge Engineering Design Centre is a research and teaching centre at the University of Cambridge focused on advancing engineering design methods, tools, and practice across academia and industry.
-
D.
School of Technology, University of Cambridge
The School of Technology at the University of Cambridge is a major academic division that oversees engineering, business, and related technology-focused departments and research centers within the university.
-
E.
National Physical Laboratory
The National Physical Laboratory is the United Kingdom’s national measurement standards laboratory, renowned for its pioneering research in physics, engineering, and metrology.
- 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_69a4938bdd3c8190a954a3c11844d9cf |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ac389a44819093396a58d2afa700 |
completed | March 1, 2026, 9:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a792a29f448190b96d934656e5399e |
completed | March 4, 2026, 2:02 a.m. |
Created at: March 1, 2026, 7:39 p.m.