Triple

T33312929
Position Surface form Disambiguated ID Type / Status
Subject On the Rocks E852934 entity
Predicate leadActorRole P5563 FINISHED
Object Bill Murray as Felix
Bill Murray as Felix is the charming, mischievous, and larger-than-life father whose antics drive the comedic and emotional core of Sofia Coppola’s film "On the Rocks."
E2046357 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: Bill Murray as Felix | Statement: [On the Rocks, leadActorRole, Bill Murray as Felix]
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: Bill Murray as Felix
Triple: [On the Rocks, leadActorRole, Bill Murray as Felix]
Generated description
Bill Murray as Felix is the charming, mischievous, and larger-than-life father whose antics drive the comedic and emotional core of Sofia Coppola’s film "On the Rocks."

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_69f349679fd8819093b9b40e989440e3 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6decdd1188190ac601c1fcbcd31d6 completed May 3, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a35432bfb188190a67c436494549bfd completed June 19, 2026, 1:25 p.m.
NEDg Description generation batch_6a3546fef1e48190b09f6b5cdf033b4c completed June 19, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a354757ae488190ad412089ead656e5 completed June 19, 2026, 1:42 p.m.
Created at: May 1, 2026, 1:33 a.m.