Triple
T3863888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aristaeus |
E91803
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Autonoë |
E121012
|
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: Autonoë | Statement: [Aristaeus, spouse, Autonoë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autonoë Context triple: [Aristaeus, spouse, Autonoë]
-
A.
Autonoë
chosen
Autonoë is a figure in Greek mythology, a daughter of Cadmus and Harmonia and sister of Semele, known primarily as the mother of the hunter Actaeon.
-
B.
Autopilot
Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
-
C.
Automat
"Automat" is a 1927 oil painting by American realist artist Edward Hopper, depicting a solitary woman seated in a self-service restaurant under stark electric light, emblematic of urban isolation and modern alienation.
-
D.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
E.
Man Vehicle Laboratory
Man Vehicle Laboratory is an MIT research lab focused on human factors, human–machine interaction, and human performance in aerospace and other complex vehicle systems.
- 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_69aed9645f348190a9868e7cef56ab7e |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeec3871d881909c6c8e6d08203801 |
completed | March 9, 2026, 3:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5123ad9188190a158721a6192cdae |
completed | March 14, 2026, 7:46 a.m. |
Created at: March 9, 2026, 3:19 p.m.