Triple
T896664
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Telemachus |
E19360
|
entity |
| Predicate | spouseTraditionNote |
P20830
|
FINISHED |
| Object | Different later traditions pair Telemachus with Circe or Nausicaa |
—
|
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: Different later traditions pair Telemachus with Circe or Nausicaa | Statement: [Telemachus, spouseTraditionNote, Different later traditions pair Telemachus with Circe or Nausicaa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: spouseTraditionNote Context triple: [Telemachus, spouseTraditionNote, Different later traditions pair Telemachus with Circe or Nausicaa]
-
A.
spouseFamily
Indicates a family relationship formed through marriage, such as between a person and their spouse’s relatives.
-
B.
spouse
Indicates that two entities are married to each other in a legally or socially recognized partnership.
-
C.
spouseNotableFor
Indicates that a person's spouse is recognized or distinguished for a particular achievement, role, or characteristic.
-
D.
spouseMemberOf
Indicates that a person’s spouse is a member of a specified group, organization, or entity.
-
E.
spouseOrder
Indicates the position or sequence of a person among multiple spouses in a marital relationship.
- 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_69a4939d37188190848be3d426ebc9ae |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad2550c88190a624eb5627d472ad |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa94f7c881908deeb62308942e19 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4a38ec8190915916d80299ab55 |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:39 p.m.