Triple
T26718864
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Captain Victoria Gates |
E673643
|
entity |
| Predicate | relationshipToRichardCastle |
P197918
|
FINISHED |
| Object | professional superior |
—
|
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: professional superior | Statement: [Captain Victoria Gates, relationshipToRichardCastle, professional superior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relationshipToRichardCastle Context triple: [Captain Victoria Gates, relationshipToRichardCastle, professional superior]
-
A.
relationshipToJaneRizzoli
Indicates the specific familial, social, or professional relationship that one entity has to Jane Rizzoli.
-
B.
relationshipWithKateBeckett
Indicates that there exists a personal or professional relationship involving Kate Beckett and another entity.
-
C.
relationshipToShawnSpencer
Indicates the specific type of personal or social relationship an entity has with Shawn Spencer.
-
D.
relationshipToSelinaMeyer
Indicates the specific type of personal or professional relationship an entity has with Selina Meyer.
-
E.
relationshipTypeWithSydneyBristow
Indicates the specific nature or category of the relationship an entity has with Sydney Bristow.
- 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_69eecda481d08190aea69f2f7c745f56 |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69feba0f09508190b3e871c62b19ec7f |
completed | May 9, 2026, 4:37 a.m. |
| PD | Predicate disambiguation | batch_69feb957fe7c8190969fb31a6d1a59c8 |
completed | May 9, 2026, 4:34 a.m. |
| PDg | Predicate description generation | batch_69feba0e362c81909883a3f24a4a9545 |
completed | May 9, 2026, 4:37 a.m. |
Created at: April 27, 2026, 3:39 a.m.