Triple
T35007793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Tamaran |
E1009858
|
entity |
| Predicate | titleHolderRealName |
P199826
|
FINISHED |
| Object | Koriand'r |
—
|
NE NERFINISHED |
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: Koriand'r | Statement: [Princess of Tamaran, titleHolderRealName, Koriand'r]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderRealName Context triple: [Princess of Tamaran, titleHolderRealName, Koriand'r]
-
A.
titleHolderName
Indicates the name of the person or entity that holds a particular title or position.
-
B.
titleHolderFullName
Indicates the full personal name of the entity that holds a particular title or position.
-
C.
titleHolderIs
Indicates that one entity currently holds or possesses a specific title associated with another entity.
-
D.
titleHolderKnownAs
Indicates that the person holding a particular title is commonly referred to or known by a specified name or alias.
-
E.
titleHolderBelongsTo
Indicates that the holder of a title is associated with or belongs to a particular entity, such as an organization, position, or domain.
- 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_69f76dcb716881909f75e4fd60ab2284 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69ff59b33a38819086cc9aa19b81748b |
completed | May 9, 2026, 3:58 p.m. |
| PD | Predicate disambiguation | batch_69ff587758f88190a39c2164341dc554 |
completed | May 9, 2026, 3:53 p.m. |
| PDg | Predicate description generation | batch_69ff59b1e2ac8190bb65529e9dbbb178 |
completed | May 9, 2026, 3:58 p.m. |
Created at: May 3, 2026, 4:01 p.m.