Triple
T16164522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tanya Roberts as Stacey Sutton |
E392266
|
entity |
| Predicate | notableCharacteristicInFiction |
P103336
|
FINISHED |
| Object | wealthy 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: wealthy heiress | Statement: [Tanya Roberts as Stacey Sutton, notableCharacteristicInFiction, wealthy heiress]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notableCharacteristicInFiction Context triple: [Tanya Roberts as Stacey Sutton, notableCharacteristicInFiction, wealthy heiress]
-
A.
notableFictionalFeature
chosen
Indicates that an entity is distinguished by a specific fictional characteristic, trait, or element it is known for.
-
B.
notableFeatureInStory
Indicates that a particular feature, element, or characteristic plays a significant or prominent role within a story.
-
C.
notableCharacterType
Indicates that an entity is a notable or prominent example of a specified character type or role.
-
D.
narrativeCharacteristic
Indicates that one entity serves as a descriptive or defining narrative feature or quality of another entity.
-
E.
protagonistCharacteristic
Indicates that a characteristic, trait, or defining quality is attributed to the protagonist in a narrative or scenario.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21e622ae481909f3cf25b38886d3a |
completed | April 17, 2026, 11:49 a.m. |
| PD | Predicate disambiguation | batch_69e1828abb608190a99d86bce1d77de2 |
completed | April 17, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:02 a.m.