Triple
T34957578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lineage |
E1008160
|
entity |
| Predicate | focusesOnCharacterBackground |
P63040
|
FINISHED |
| Object | B'Elanna Torres |
—
|
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: B'Elanna Torres | Statement: [Lineage, focusesOnCharacterBackground, B'Elanna Torres]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: focusesOnCharacterBackground Context triple: [Lineage, focusesOnCharacterBackground, B'Elanna Torres]
-
A.
characterInFocus
Indicates that a particular character is the primary subject or focal point within a given context, scene, or narrative segment.
-
B.
screenCharacterBy
Indicates a relationship where one entity evaluates or selects characters according to certain criteria or standards.
-
C.
focusesOn
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
D.
followsCharacterThrough
Indicates that one entity persistently tracks or accompanies a specific character along their path, perspective, or progression.
-
E.
characterizationFocus
chosen
Indicates that the primary emphasis or concern of a characterization is directed toward a particular aspect, feature, or dimension of the subject.
- 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_69f76dc69564819099e9e78aed6ff0a6 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fd0b92f42881908cd77e3f058adcc2 |
completed | May 7, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69fd0a3d68d4819094d92040f7c48d7c |
completed | May 7, 2026, 9:55 p.m. |
Created at: May 3, 2026, 4 p.m.