Triple

T37204887
Position Surface form Disambiguated ID Type / Status
Subject Poltergeist: The Legacy E922139 entity
Predicate mainCharacter P1183 FINISHED
Object Philip Callaghan
Philip Callaghan is a central protagonist in the supernatural horror television series "Poltergeist: The Legacy," known for his involvement with a secret society that investigates and combats paranormal phenomena.
E302517 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: Philip Callaghan | Statement: [Poltergeist: The Legacy, mainCharacter, Philip Callaghan]
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: Philip Callaghan
Triple: [Poltergeist: The Legacy, mainCharacter, Philip Callaghan]
Generated description
Philip Callaghan is a central protagonist in the supernatural horror television series "Poltergeist: The Legacy," known for his involvement with a secret society that investigates and combats paranormal phenomena.

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_69f76ea4849481909b4a3073efb0114c completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fb36478fcc8190b1e71b5c543d2ba5 completed May 6, 2026, 12:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40a7db93e48190af81d864ea5c85a5 completed June 28, 2026, 4:49 a.m.
NEDg Description generation batch_6a40a92a33a481908411fc3f7ffec5bc completed June 28, 2026, 4:55 a.m.
NED2 Entity disambiguation (via description) batch_6a40a9b39bc88190bfa865be4f420cd3 completed June 28, 2026, 4:57 a.m.
Created at: May 3, 2026, 4:15 p.m.