Triple
T26898179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | For the First Time in Forever |
E677949
|
entity |
| Predicate | featuresContrastBetweenCharacters |
P41001
|
FINISHED |
| Object | optimistic Anna and anxious Elsa |
—
|
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: optimistic Anna and anxious Elsa | Statement: [For the First Time in Forever, featuresContrastBetweenCharacters, optimistic Anna and anxious Elsa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresContrastBetweenCharacters Context triple: [For the First Time in Forever, featuresContrastBetweenCharacters, optimistic Anna and anxious Elsa]
-
A.
characterContrast
chosen
Indicates a relationship where two characters are compared to highlight their opposing or significantly differing traits, roles, or behaviors.
-
B.
contrastCharacteristic
Indicates that two entities are being compared by highlighting opposing or significantly different characteristics between them.
-
C.
colorOfCharacters
Indicates that a specified color is associated with the appearance of certain characters.
-
D.
providesContrastWith
Indicates that one entity is used to highlight differences or distinctions when compared with another entity.
-
E.
character2
Indicates that a second character entity is involved in the relationship or context defined by the predicate.
- 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_69eee9befee48190a26f214faa867be7 |
completed | April 27, 2026, 4:44 a.m. |
| NER | Named-entity recognition | batch_69fd02680d948190a3463fb119ba8556 |
completed | May 7, 2026, 9:21 p.m. |
| PD | Predicate disambiguation | batch_69fcf89c69b4819082bbc564bd15137d |
completed | May 7, 2026, 8:39 p.m. |
Created at: April 27, 2026, 5:49 a.m.