Triple
T33049631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen Atossa |
E845687
|
entity |
| Predicate | workIsOldestSurvivingGreekPlay |
P175743
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Queen Atossa, workIsOldestSurvivingGreekPlay, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workIsOldestSurvivingGreekPlay Context triple: [Queen Atossa, workIsOldestSurvivingGreekPlay, true]
-
A.
fatherInEuripidesVersion
Indicates that one entity is the father of another specifically in Euripides’ version of a myth or narrative.
-
B.
workInPlatoCorpus
Indicates that an entity is a work that appears within the corpus of texts attributed to Plato.
-
C.
canonicallyAttributedPlays
Indicates that certain plays are officially or traditionally recognized as being authored by a particular creator.
-
D.
roleInHecuba
Indicates that an entity has a specific role or character assignment in the play *Hecuba*.
-
E.
mostFamousPlay
Indicates that the related entity is the play for which a person is best or most widely known.
- F. None of above. chosen
Provenance (4 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_69f3495242e48190996a2cb2beab5455 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6d74b20a48190900dda1014cc13a8 |
completed | May 3, 2026, 5:04 a.m. |
| PD | Predicate disambiguation | batch_69f6d27120988190aacec621cf2bf0e8 |
completed | May 3, 2026, 4:43 a.m. |
| PDg | Predicate description generation | batch_69f6d6a482fc8190b526291cd99b8696 |
completed | May 3, 2026, 5:01 a.m. |
Created at: May 1, 2026, 1:24 a.m.