Triple
T1014722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Semele |
E21904
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Autonoë
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.
|
E121012
|
NE FINISHED |
How this triple was built (4 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: [Semele, sibling, Autonoë]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Autonoë Context triple: [Semele, sibling, Autonoë]
-
A.
Autopilot
Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
-
B.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
C.
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.
-
D.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
-
E.
Kismet
Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Autonoë Triple: [Semele, sibling, Autonoë]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Autonoë Target entity description: 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.
-
A.
Autopilot
Autopilot is Tesla’s advanced driver-assistance system designed to automate steering, acceleration, and braking under driver supervision.
-
B.
L’Auto
L’Auto was a French sports newspaper best known for creating and organizing the Tour de France.
-
C.
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.
-
D.
Bilen
Bilen is a Cushitic language spoken primarily by the Bilen people in central Eritrea.
-
E.
Kismet
Kismet is an open-source wireless network detector, sniffer, and intrusion detection system widely used for Wi-Fi security auditing and monitoring.
- F. None of above. chosen
Provenance (5 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_69a493c68e24819080ed0ee8bcfd5ce0 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b7c05060819083c51717874074c8 |
completed | March 1, 2026, 10:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac3baf80348190b6909cbd1fd40cb4 |
completed | March 7, 2026, 2:52 p.m. |
| NEDg | Description generation | batch_69ac3cb90e80819099cf5e0a795b0c6a |
completed | March 7, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac3d0fcdb88190b4c5e5ddf41e2716 |
completed | March 7, 2026, 2:58 p.m. |
Created at: March 1, 2026, 7:41 p.m.