Triple
T19832632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Admete |
E476500
|
entity |
| Predicate | sibling |
P363
|
FINISHED |
| Object |
Mentor
Mentor is a figure from Greek mythology, best known as the trusted advisor of Odysseus and caretaker of his son Telemachus.
|
E1396494
|
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: Mentor | Statement: [Admete, sibling, Mentor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mentor Context triple: [Admete, sibling, Mentor]
-
A.
Mentor
Mentor is a medical aesthetics company best known for manufacturing breast implants and related surgical products within Johnson & Johnson’s MedTech portfolio.
-
B.
The Mentor
The Mentor is a stage play that gained particular recognition through a notable production at London's Vaudeville Theatre.
-
C.
Mentor Marsh
Mentor Marsh is a protected wetland and wildlife area in Mentor, Ohio, known for its rich biodiversity and birdwatching opportunities.
-
D.
Object Mentor
Object Mentor is a software consulting and training company founded by Robert C. Martin, known for promoting agile methodologies, clean code practices, and object-oriented design principles.
-
E.
Guru
Guru is a 2007 Indian Hindi-language drama film directed by Mani Ratnam, featuring music composed by A. R. Rahman.
- 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: Mentor Triple: [Admete, sibling, Mentor]
Generated description
Mentor is a figure from Greek mythology, best known as the trusted advisor of Odysseus and caretaker of his son Telemachus.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mentor Target entity description: Mentor is a figure from Greek mythology, best known as the trusted advisor of Odysseus and caretaker of his son Telemachus.
-
A.
Mentor
Mentor is a medical aesthetics company best known for manufacturing breast implants and related surgical products within Johnson & Johnson’s MedTech portfolio.
-
B.
The Mentor
The Mentor is a stage play that gained particular recognition through a notable production at London's Vaudeville Theatre.
-
C.
Mentor Marsh
Mentor Marsh is a protected wetland and wildlife area in Mentor, Ohio, known for its rich biodiversity and birdwatching opportunities.
-
D.
Object Mentor
Object Mentor is a software consulting and training company founded by Robert C. Martin, known for promoting agile methodologies, clean code practices, and object-oriented design principles.
-
E.
Guru
Guru is a 2007 Indian Hindi-language drama film directed by Mani Ratnam, featuring music composed by A. R. Rahman.
- 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_69d8e51c7c188190b926f3a2a7b5f881 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e656cf7e488190b4be28b5e7b363bf |
completed | April 20, 2026, 4:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07ccd7da0c8190a101747611ab17ee |
completed | May 16, 2026, 1:48 a.m. |
| NEDg | Description generation | batch_6a07cd3cc44081909eea344aa5ea2441 |
completed | May 16, 2026, 1:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07cd9bb104819091375260e98d657e |
completed | May 16, 2026, 1:51 a.m. |
Created at: April 10, 2026, 1:50 p.m.