Triple

T33976051
Position Surface form Disambiguated ID Type / Status
Subject Rose McIver E871142 entity
Predicate notableWork P4 FINISHED
Object Petals on the Wind
Petals on the Wind is a 2014 Lifetime television film adaptation of V.C. Andrews’ Dollanganger novel, continuing the dark family saga begun in Flowers in the Attic.
 E2074564 NE 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: Petals on the Wind | Statement: [Rose McIver, notableWork, Petals on the Wind]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Petals on the Wind
Triple: [Rose McIver, notableWork, Petals on the Wind]
Generated description
Petals on the Wind is a 2014 Lifetime television film adaptation of V.C. Andrews’ Dollanganger novel, continuing the dark family saga begun in Flowers in the Attic.

Provenance (5 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_69f3499da0188190ab1a4ff06fb06a2a completed April 30, 2026, 12:22 p.m.
NER Named-entity recognition batch_69f7032a8e188190b889dc95dee59b65 completed May 3, 2026, 8:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3689f0a71881908089f4f248eeeb6b completed June 20, 2026, 12:39 p.m.
NEDg Description generation batch_6a368a465dec8190abfed840dfbf11e9 completed June 20, 2026, 12:40 p.m.
NED2 Entity disambiguation (via description) batch_6a368ac9af4c81909847e2aedf58afae completed June 20, 2026, 12:42 p.m.
Created at: May 1, 2026, 1:50 a.m.