Triple
T15139344
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hector Garcia-Molina |
E361642
|
entity |
| Predicate | coAuthorWith |
P398
|
FINISHED |
| Object | Jennifer Widom |
E358234
|
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: Jennifer Widom | Statement: [Hector Garcia-Molina, coAuthorWith, Jennifer Widom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jennifer Widom Context triple: [Hector Garcia-Molina, coAuthorWith, Jennifer Widom]
-
A.
Jennifer Widom
chosen
Jennifer Widom is an American computer scientist renowned for her pioneering research in database systems and data management, and for her leadership as dean of the Stanford School of Engineering.
-
B.
Margo Seltzer
Margo Seltzer is a prominent American computer scientist known for her influential work in file systems, databases, and performance analysis, and for her leadership in both academia and industry.
-
C.
Gale E. Halderman
Gale E. Halderman was an American automobile designer best known as the principal stylist behind the original Ford Mustang.
-
D.
Margaret Martonosi
Margaret Martonosi is a prominent computer architect and Princeton University professor known for her influential research in power-aware computing, computer architecture, and hardware–software interface design.
-
E.
Barbara Grosz
Barbara Grosz is a pioneering computer scientist known for her foundational work in natural language processing, multi-agent systems, and contributions to the field of artificial intelligence research and ethics.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b59b488190b0016970647e7483 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69febfec3ae48190b2d8e853dab00777 |
completed | May 9, 2026, 5:02 a.m. |
Created at: April 10, 2026, 3:07 a.m.