Triple

T37254995
Position Surface form Disambiguated ID Type / Status
Subject Paranormal Activity: The Ghost Dimension E924100 entity
Predicate stars P1956 FINISHED
Object Dan Gill
Dan Gill is an American actor known for his roles in film and television, including a prominent part in the horror franchise entry "Paranormal Activity: The Ghost Dimension."
E2222740 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: Dan Gill | Statement: [Paranormal Activity: The Ghost Dimension, stars, Dan Gill]
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: Dan Gill
Triple: [Paranormal Activity: The Ghost Dimension, stars, Dan Gill]
Generated description
Dan Gill is an American actor known for his roles in film and television, including a prominent part in the horror franchise entry "Paranormal Activity: The Ghost Dimension."

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_69f76eaabb4c819093b751b139dad551 completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fb372abd6c8190893584dd10c217d6 completed May 6, 2026, 12:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a40637f78c48190979824f9ff6a9fdb completed June 27, 2026, 11:57 p.m.
NEDg Description generation batch_6a406541ea5481909ddb5c6ed8e73149 completed June 28, 2026, 12:05 a.m.
NED2 Entity disambiguation (via description) batch_6a4065e5a1908190a03d248535ba7a3a completed June 28, 2026, 12:08 a.m.
Created at: May 3, 2026, 4:15 p.m.