Triple
T22103468
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Pirate Queen |
E546225
|
entity |
| Predicate | originalElizabethIActor |
P146988
|
FINISHED |
| Object | Linda Balgord |
—
|
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: Linda Balgord | Statement: [The Pirate Queen, originalElizabethIActor, Linda Balgord]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalElizabethIActor Context triple: [The Pirate Queen, originalElizabethIActor, Linda Balgord]
-
A.
hasElizabethIAs
Indicates that the subject has Elizabeth I in the specified role, capacity, or relation.
-
B.
PrincessElizabethRole
Indicates that an entity holds or is assigned the role or title associated with Princess Elizabeth in a given context.
-
C.
lizabethScottRole
Indicates that the subject is a role or character portrayed by Lizabeth Scott.
-
D.
ElizabethIITenureEnd
Indicates the point in time when Queen Elizabeth II’s period of reign or official tenure came to an end.
-
E.
ElizabethAction
Indicates that Elizabeth performs, initiates, or is responsible for a particular action or activity in relation to other entities.
- 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_69e11e378dc08190896d6a51597afd5a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129175a7881909549883f23c53dca |
completed | April 28, 2026, 9:39 p.m. |
| PD | Predicate disambiguation | batch_69e71b20ec50819096ac196c798f8e3c |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:30 p.m.