Triple
T13519124
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lord Wessex |
E322846
|
entity |
| Predicate | primaryGoalInFilm |
P1415
|
FINISHED |
| Object | to marry an heiress |
—
|
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: to marry an heiress | Statement: [Lord Wessex, primaryGoalInFilm, to marry an heiress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryGoalInFilm Context triple: [Lord Wessex, primaryGoalInFilm, to marry an heiress]
-
A.
narrativeGoal
Indicates that one entity has a desired outcome or objective within a story or narrative context that drives their actions or development.
-
B.
hasPrimaryGoal
chosen
Indicates that an entity’s main or most important objective is the specified goal.
-
C.
aimOf
Indicates that one entity serves as the goal, purpose, or intended target of another entity’s action, plan, or existence.
-
D.
filmicFunction
Indicates the role or purpose that something serves within the structure, style, or narrative function of a film.
-
E.
primaryUnionObjective
Indicates the main goal or purpose that a union seeks to achieve in its activities or negotiations.
- 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa27f048190bed33a98e28c8d09 |
completed | April 12, 2026, 2:43 p.m. |
| PD | Predicate disambiguation | batch_69dbae0b63748190b5e207f84b2532ea |
completed | April 12, 2026, 2:36 p.m. |
Created at: April 9, 2026, 9:44 p.m.