Triple
T1215458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eurycleia |
E26097
|
entity |
| Predicate | aboutSecret |
P22701
|
FINISHED |
| Object | Odysseus’ true identity |
—
|
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: Odysseus’ true identity | Statement: [Eurycleia, aboutSecret, Odysseus’ true identity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aboutSecret Context triple: [Eurycleia, aboutSecret, Odysseus’ true identity]
-
A.
keepsSecretAbout
chosen
Indicates that one entity intentionally withholds or conceals information regarding another specified entity or topic from others.
-
B.
secretive
Indicates that an entity deliberately withholds information or conceals its thoughts, actions, or intentions from others.
-
C.
secondSecretTheme
Indicates that an entity has or is associated with a secondary, hidden or underlying thematic element beyond its primary theme.
-
D.
aboutPlace
Indicates that something (such as a statement, work, or information) concerns, describes, or is thematically related to a particular place or location.
-
E.
sharesSecretariatWith
Indicates that two entities are served or administered by the same secretariat or administrative office.
- 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_69a4948331fc8190b531ac9bec71c491 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be059c5c8190a200f09442c22334 |
completed | March 1, 2026, 10:30 p.m. |
| PD | Predicate disambiguation | batch_69a4bb62a7c08190a79dcb6ff72ac99b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.