Triple
T26910352
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Túrin Turambar |
E677365
|
entity |
| Predicate | unknowinglyMarriedTo |
P22415
|
FINISHED |
| Object | his sister Niënor |
—
|
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: his sister Niënor | Statement: [Túrin Turambar, unknowinglyMarriedTo, his sister Niënor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: unknowinglyMarriedTo Context triple: [Túrin Turambar, unknowinglyMarriedTo, his sister Niënor]
-
A.
unknowinglyMarried
chosen
Indicates that one person is married to another without being aware of the marital relationship.
-
B.
hasSecretMarriageWith
Indicates a relationship where two entities are secretly married to each other, with the marriage intentionally concealed from others.
-
C.
marriedBy
Indicates that one entity is the officiant or authority who performs and formalizes the marriage of another entity.
-
D.
marriedIn
Indicates that two entities entered into a marital relationship at a specific place or within a particular jurisdiction.
-
E.
isFianceeOf
Indicates that one person is the engaged-to-be-married partner of another person.
- 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_69eee9bcef1c8190be88586bb902bb9b |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69f61fd9d3208190aa7d3d12cb4db479 |
completed | May 2, 2026, 4:01 p.m. |
| PD | Predicate disambiguation | batch_69f611af72ac819094598dd2530d7411 |
completed | May 2, 2026, 3:01 p.m. |
Created at: April 27, 2026, 6:01 a.m.