Triple
T16779457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michal |
E407818
|
entity |
| Predicate | relationshipWithKaturian |
P124604
|
FINISHED |
| Object | deeply dependent |
—
|
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: deeply dependent | Statement: [Michal, relationshipWithKaturian, deeply dependent]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipWithKaturian Context triple: [Michal, relationshipWithKaturian, deeply dependent]
-
A.
relationshipToLadyKiritsubo
Indicates the type or nature of a person’s relationship to Lady Kiritsubo.
-
B.
relationshipToTopa
Indicates a familial or social relationship that an entity has specifically with Topa.
-
C.
relationshipWithKong
Indicates that one entity has a specified type of relationship or association with the entity referred to as Kong.
-
D.
relationshipWithKlyden
Indicates a relationship or connection that an entity has specifically with Klyden.
-
E.
relationshipToCreature
Indicates a specified type of relational connection that one entity has toward a particular creature.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b21401b881909bbbc7382e851a90 |
completed | April 18, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
| PDg | Predicate description generation | batch_69e326bac94481908c082117553320f8 |
completed | April 18, 2026, 6:37 a.m. |
Created at: April 10, 2026, 5:22 a.m.