Triple

T24227566
Position Surface form Disambiguated ID Type / Status
Subject High School Musical: The Musical: The Series E601635 entity
Predicate stars P1956 FINISHED
Object Joe Serafini
Joe Serafini is an American actor and singer best known for playing Seb Matthew-Smith in the Disney+ series "High School Musical: The Musical: The Series."
E1908437 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: Joe Serafini | Statement: [High School Musical: The Musical: The Series, stars, Joe Serafini]
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: Joe Serafini
Triple: [High School Musical: The Musical: The Series, stars, Joe Serafini]
Generated description
Joe Serafini is an American actor and singer best known for playing Seb Matthew-Smith in the Disney+ series "High School Musical: The Musical: The Series."

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_69e29538aafc8190a2386fdebbd1393b completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f287e11e188190bd257f24cb593039 completed April 29, 2026, 10:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a276ec9d3c481909ebe21b86418eb0d completed June 9, 2026, 1:39 a.m.
NEDg Description generation batch_6a27700902c88190b2ccb53c4bce92d3 completed June 9, 2026, 1:44 a.m.
NED2 Entity disambiguation (via description) batch_6a2770b9c5148190834f1748388200a2 completed June 9, 2026, 1:47 a.m.
Created at: April 18, 2026, 12:01 a.m.