Triple
T12555
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eleni Kounalakis |
E253
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Eleni |
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 | Statement: [Eleni Kounalakis, givenName, Eleni]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Eleni Context triple: [Eleni Kounalakis, givenName, Eleni]
-
A.
Eleni Kounalakis
chosen
Eleni Kounalakis is an American politician and former U.S. ambassador who serves as the lieutenant governor of California.
-
B.
Livadia
Livadia is a resort settlement in Crimea best known as the site of the historic Livadia Palace, where the 1945 Yalta Conference was held.
-
C.
Dædalus
Dædalus is a scholarly journal of the American Academy of Arts and Sciences that features interdisciplinary essays on culture, science, public affairs, and the arts.
-
D.
Theodor
Theodor "Ted" Nelson is an American pioneer of information technology best known for coining the term "hypertext" and envisioning global hyperlinked document systems.
-
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_69a24e54be7481909db32fd9b1e90cca |
completed | Feb. 28, 2026, 2:09 a.m. |
Created at: Feb. 28, 2026, 1:02 a.m.