Triple
T7292738
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alan S. Willsky |
E164436
|
entity |
| Predicate | affiliation |
P10
|
FINISHED |
| Object | Laboratory for Information and Decision Systems at MIT |
E45729
|
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: Laboratory for Information and Decision Systems at MIT | Statement: [Alan S. Willsky, affiliation, Laboratory for Information and Decision Systems at MIT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laboratory for Information and Decision Systems at MIT Context triple: [Alan S. Willsky, affiliation, Laboratory for Information and Decision Systems at MIT]
-
A.
MIT Laboratory for Information and Decision Systems
chosen
The MIT Laboratory for Information and Decision Systems is a research laboratory at the Massachusetts Institute of Technology focused on advancing the theory and applications of systems, control, communications, and data science.
-
B.
Computer Science and Artificial Intelligence Laboratory (CSAIL)
The Computer Science and Artificial Intelligence Laboratory (CSAIL) is MIT’s premier research lab for computer science, artificial intelligence, and related fields, known for pioneering work in areas such as robotics, machine learning, and systems.
-
C.
MIT Research Laboratory of Electronics
The MIT Research Laboratory of Electronics is a leading interdisciplinary research center at the Massachusetts Institute of Technology focused on advancing electronics, photonics, information science, and related technologies.
-
D.
MIT Institute for Data, Systems, and Society
The MIT Institute for Data, Systems, and Society is an interdisciplinary research and education institute at the Massachusetts Institute of Technology focused on data science, systems engineering, and social science to address complex societal challenges.
-
E.
Stanford Artificial Intelligence Laboratory
The Stanford Artificial Intelligence Laboratory is a leading research center at Stanford University dedicated to advancing the theory and practice of artificial intelligence across robotics, machine learning, and related fields.
- 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_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb6fc5788190b1b339d051f93c22 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e53faa0481909758a7366cbbe99f |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3 p.m.