Triple
T6173408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maran |
E137758
|
entity |
| Predicate | honorificLevel |
P69222
|
FINISHED |
| Object | very high |
—
|
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: very high | Statement: [Maran, honorificLevel, very high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: honorificLevel Context triple: [Maran, honorificLevel, very high]
-
A.
honorificType
Indicates the type or category of honorific or formal title associated with an entity in a given context.
-
B.
honorificRank
Indicates that one entity holds a formal title or honorific status in relation to another entity.
-
C.
honorificIndicates
Indicates that one entity uses an honorific title or respectful form of address to refer to or address another entity.
-
D.
honorificSense
Indicates that one entity refers to another using an honorific or respectful linguistic form.
-
E.
honorificOrder
Indicates the relative ranking or sequence of entities according to a system of honorifics or formal precedence.
- 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_69c008a68c508190a8d78245c865960e |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c05d94c47481909745b2533926a1ca |
completed | March 22, 2026, 9:22 p.m. |
| PD | Predicate disambiguation | batch_69c055f7f12881908e21c04e9b752ba4 |
completed | March 22, 2026, 8:50 p.m. |
| PDg | Predicate description generation | batch_69c056df95ac8190bc5efe050d3af864 |
completed | March 22, 2026, 8:53 p.m. |
Created at: March 22, 2026, 4:18 p.m.