Triple
T27251692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Madeline Miller |
E687501
|
entity |
| Predicate | Circe |
P162283
|
FINISHED |
| Object | featuresCharacter Odysseus |
—
|
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: featuresCharacter Odysseus | Statement: [Madeline Miller, Circe, featuresCharacter Odysseus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Circe Context triple: [Madeline Miller, Circe, featuresCharacter Odysseus]
-
A.
Circe
chosen
Indicates a transformative or enchantment-based relationship, where one entity magically alters or bewitches another.
-
B.
ArtemisIs
Indicates that something or someone is identified as, or has the status/role of, Artemis.
-
C.
HeraBribe
Indicates that Hera offers something of value as a bribe to influence or persuade another entity to act in her favor.
-
D.
მეუღლე
Indicates a spousal relationship between two people, where each is the legally or socially recognized husband or wife of the other.
-
E.
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.
- 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_69ef35567e808190a94458cd44ebff0c |
completed | April 27, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 10:45 a.m.