Triple
T4965636
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philoetius |
E111516
|
entity |
| Predicate | loyalDuring |
P53264
|
FINISHED |
| Object | Odysseus’s long absence from Ithaca |
—
|
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’s long absence from Ithaca | Statement: [Philoetius, loyalDuring, Odysseus’s long absence from Ithaca]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: loyalDuring Context triple: [Philoetius, loyalDuring, Odysseus’s long absence from Ithaca]
-
A.
allegiance
Indicates a relationship where one entity is loyal, committed, or obligated in support or service to another entity.
-
B.
hadAllegiance
chosen
Indicates that an entity was loyally committed or formally bound in support or service to another entity, such as a person, group, or cause.
-
C.
loyaltyConflict
Indicates a situation where an entity’s loyalties to different people, groups, or principles are in tension or opposition, creating a conflict in choosing whom or what to support.
-
D.
allegianceDuringDance
Indicates a relationship where one entity shows loyalty or support to another specifically during a dance event or performance.
-
E.
testOfLoyalty
Indicates a situation or action designed to assess how faithful, devoted, or reliable one entity is toward another.
- 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_69bd4419393c819086319a6fe4bf8542 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| PD | Predicate disambiguation | batch_69bd71447fe88190bb62c5e8753da7a7 |
completed | March 20, 2026, 4:09 p.m. |
Created at: March 20, 2026, 1:32 p.m.