Triple
T4922229
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thesmophoria |
E110491
|
entity |
| Predicate | AthenianMonth |
P1167
|
FINISHED |
| Object | Pyanepsion |
—
|
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: Pyanepsion | Statement: [Thesmophoria, AthenianMonth, Pyanepsion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AthenianMonth Context triple: [Thesmophoria, AthenianMonth, Pyanepsion]
-
A.
AthenaBribe
Indicates that one entity offers or gives something of value to another as a bribe, specifically involving or attributed to Athena.
-
B.
monthObserved
chosen
Indicates the month during which an event, observation, or measurement took place.
-
C.
ArtemisIs
Indicates that something or someone is identified as, or has the status/role of, Artemis.
-
D.
AphroditeBribe
Indicates that one entity (Aphrodite) offers or gives a persuasive incentive or reward to another entity in order to influence their decision or allegiance.
-
E.
HeraBribe
Indicates that Hera offers something of value as a bribe to influence or persuade another entity to act in her favor.
- F. None of above.
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_69bd4413f9908190afcff44d7929cc4c |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ffc2ab08190992db2400562bcee |
completed | March 20, 2026, 4:04 p.m. |
| PD | Predicate disambiguation | batch_69bd6c3421588190ab08e92b9558042e |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:30 p.m.