Triple
T1213857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Roy Vagelos |
E26063
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Pindaros |
E106316
|
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: Pindaros | Statement: [Roy Vagelos, givenName, Pindaros]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pindaros Context triple: [Roy Vagelos, givenName, Pindaros]
-
A.
Pindar
chosen
Pindar was an ancient Greek lyric poet renowned for his victory odes celebrating athletic triumphs in the Panhellenic games.
-
B.
Alcaeus
Alcaeus is a figure in Greek mythology known primarily as a son of the hero Perseus.
-
C.
Alcaeus of Mytilene
Alcaeus of Mytilene was an influential 6th-century BCE lyric poet from the island of Lesbos, renowned for his political and personal poetry composed in the Aeolic dialect.
-
D.
Anacreon
Anacreon was an ancient Greek lyric poet renowned for his songs celebrating love, wine, and revelry.
-
E.
Hesiod
Hesiod was an early ancient Greek poet, often considered a founder of Greek didactic poetry, known for works such as the Theogony and Works and Days that shaped Greek mythology and moral thought.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be024e448190ba263a0cc5cc9cd5 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac93bcdbbc8190a5eb1f4285faa8d4 |
completed | March 7, 2026, 9:08 p.m. |
Created at: March 1, 2026, 7:46 p.m.