Triple
T35007792
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Princess of Tamaran |
E1009858
|
entity |
| Predicate | titleHolderPrimaryAlias |
P142563
|
FINISHED |
| Object | Starfire |
—
|
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: Starfire | Statement: [Princess of Tamaran, titleHolderPrimaryAlias, Starfire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: titleHolderPrimaryAlias Context triple: [Princess of Tamaran, titleHolderPrimaryAlias, Starfire]
-
A.
titleHolderKnownAs
chosen
Indicates that the person holding a particular title is commonly referred to or known by a specified name or alias.
-
B.
titleHolderName
Indicates the name of the person or entity that holds a particular title or position.
-
C.
titleHolderGivenName
Indicates that the predicate specifies the given (first) name of the person who holds a particular title.
-
D.
titleHolderLabel
Indicates the entity that currently or formerly holds a specified title, position, or honor.
-
E.
titleHolderIsUsually
Indicates that an entity serving as a title holder is typically or most commonly a particular type or category of entity.
- F. None of above.
Provenance (3 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_69ff5803c02c81908b63067119f5e684 |
completed | May 9, 2026, 3:51 p.m. |
| PD | Predicate disambiguation | batch_69ff576d8b308190b49a1e072a0ae661 |
completed | May 9, 2026, 3:49 p.m. |
Created at: May 3, 2026, 4:01 p.m.