Triple
T18584659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hiei |
E454203
|
entity |
| Predicate | relationshipToYukina |
P132669
|
FINISHED |
| Object | older brother |
—
|
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: older brother | Statement: [Hiei, relationshipToYukina, older brother]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToYukina Context triple: [Hiei, relationshipToYukina, older brother]
-
A.
relationshipToLadyKiritsubo
Indicates the type or nature of a person’s relationship to Lady Kiritsubo.
-
B.
relationshipWithKaturian
Indicates that one entity has some form of personal, emotional, or social relationship with the individual named Katurian.
-
C.
relationshipToTopa
Indicates a familial or social relationship that an entity has specifically with Topa.
-
D.
relationshipToKenny
Indicates the specific familial, social, or interpersonal connection that one entity has to Kenny.
-
E.
relationshipWithKlyden
Indicates a relationship or connection that an entity has specifically with Klyden.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e545b0dff08190a3be481faec34a3c |
completed | April 19, 2026, 9:14 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:44 a.m.