Triple
T30345845
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Archer |
E771866
|
entity |
| Predicate | relationshipToShirouEmiya |
P203890
|
FINISHED |
| Object | Future self |
—
|
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: Future self | Statement: [Archer, relationshipToShirouEmiya, Future self]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToShirouEmiya Context triple: [Archer, relationshipToShirouEmiya, Future self]
-
A.
relationshipToLadyKiritsubo
Indicates the type or nature of a person’s relationship to Lady Kiritsubo.
-
B.
relationshipToYukina
Indicates a specified type of personal or social connection that an entity has with Yukina.
-
C.
relationshipToNessarose
Indicates the specific type of personal or social relationship an entity has with Nessarose.
-
D.
relationshipToMoriFamily
Indicates the specific familial or relational connection an entity has to the Mori family.
-
E.
relationshipToShireen
Indicates the specific type of personal or social relationship that an entity has with Shireen.
- 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_69f2248b9a208190bc3e6804acd5afd6 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_6a023f290e3081909a465d6cfb79518a |
completed | May 11, 2026, 8:42 p.m. |
| PD | Predicate disambiguation | batch_6a0238d1436c8190ab0251030b01902e |
completed | May 11, 2026, 8:15 p.m. |
| PDg | Predicate description generation | batch_6a023f27f1608190bac5be9c4c67f527 |
completed | May 11, 2026, 8:42 p.m. |
Created at: April 29, 2026, 7:55 p.m.