Triple
T12554
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleni Kounalakis |
E253
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Eleni Kounalakis |
E253
|
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: Eleni Kounalakis | Statement: [Eleni Kounalakis, name, Eleni Kounalakis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eleni Kounalakis Context triple: [Eleni Kounalakis, name, Eleni Kounalakis]
-
A.
Eleni Kounalakis
chosen
Eleni Kounalakis is an American politician and former U.S. ambassador who serves as the lieutenant governor of California.
-
B.
Maxine Singer
Maxine Singer is an American molecular biologist renowned for her pioneering work in genetics and for her leadership in shaping ethical guidelines for recombinant DNA research.
-
C.
Sally Kornbluth
Sally Kornbluth is an American cell biologist and academic leader who became the 18th president of the Massachusetts Institute of Technology.
-
D.
Rosemary Leith
Rosemary Leith is a Canadian-born entrepreneur and internet governance leader who co-founded the World Wide Web Foundation and serves on various boards related to technology and public policy.
-
E.
Lynn
Lynn is a coastal city in northeastern Massachusetts, known as one of the larger urban centers in the Greater Boston metropolitan area.
- 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_69a23d7ad88c8190bffe8ab091d86642 |
completed | Feb. 28, 2026, 12:57 a.m. |
| NER | Named-entity recognition | batch_69a23ff415ec819082ba80ed3859b71e |
completed | Feb. 28, 2026, 1:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a248e3cd308190be7f51f817d4e2b2 |
completed | Feb. 28, 2026, 1:46 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.