Triple

T36240807
Position Surface form Disambiguated ID Type / Status
Subject LittleBigPlanet 2 E891511 entity
Predicate composer P1361 FINISHED
Object Winifred Phillips
Winifred Phillips is an award-winning American composer best known for her music in video games such as the LittleBigPlanet series, Assassin’s Creed III: Liberation, and God of War.
E2232744 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: Winifred Phillips | Statement: [LittleBigPlanet 2, composer, Winifred Phillips]
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: Winifred Phillips
Triple: [LittleBigPlanet 2, composer, Winifred Phillips]
Generated description
Winifred Phillips is an award-winning American composer best known for her music in video games such as the LittleBigPlanet series, Assassin’s Creed III: Liberation, and God of War.

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_69f76e44993481908fa75e4c48d0aab3 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69f7b5cf70dc8190a967c46a0bfe6965 completed May 3, 2026, 8:53 p.m.
NED1 Entity disambiguation (via context triple) batch_6a409ee5b1708190ba38a410018ee10d completed June 28, 2026, 4:11 a.m.
NEDg Description generation batch_6a40a0bb718081909f6f7d021b52070c completed June 28, 2026, 4:19 a.m.
NED2 Entity disambiguation (via description) batch_6a40a180222c8190aa3f63942e798f2f completed June 28, 2026, 4:22 a.m.
Created at: May 3, 2026, 4:09 p.m.