Triple
T12344986
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elizabeth |
E294327
|
entity |
| Predicate | importanceToProtagonist |
P93589
|
FINISHED |
| Object | emotional anchor |
—
|
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: emotional anchor | Statement: [Elizabeth, importanceToProtagonist, emotional anchor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: importanceToProtagonist Context triple: [Elizabeth, importanceToProtagonist, emotional anchor]
-
A.
narrativeImportance
Indicates the degree to which an entity or event is central, influential, or essential within the structure and progression of a narrative.
-
B.
protagonistIs
Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
-
C.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
-
D.
dramaticImportance
Indicates that one entity holds significant narrative or emotional weight or impact in relation to another within a dramatic or storytelling context.
-
E.
isPivotalForCharacter
chosen
Indicates that something plays a crucial, defining role in shaping a character’s development, decisions, or narrative arc.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93f7a4a448190aa70d66dc2f406c1 |
completed | April 10, 2026, 6:20 p.m. |
| PD | Predicate disambiguation | batch_69d93ecb5efc819086a3530282278bb1 |
completed | April 10, 2026, 6:17 p.m. |
Created at: April 8, 2026, 9:53 p.m.