Triple

T23911133
Position Surface form Disambiguated ID Type / Status
Subject The Blob (1988 film) E601940 entity
Predicate featuresCharacter P626 FINISHED
Object Brian Flagg
Brian Flagg is the rebellious teenage protagonist in the 1988 horror film "The Blob," who becomes one of the key figures fighting the deadly alien organism threatening his small town.
E1631160 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: Brian Flagg | Statement: [The Blob (1988 film), featuresCharacter, Brian Flagg]
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: Brian Flagg
Triple: [The Blob (1988 film), featuresCharacter, Brian Flagg]
Generated description
Brian Flagg is the rebellious teenage protagonist in the 1988 horror film "The Blob," who becomes one of the key figures fighting the deadly alien organism threatening his small town.

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_69e2953a187081908346a9f36e85fc98 completed April 17, 2026, 8:16 p.m.
NER Named-entity recognition batch_69f1ce94f65c8190807723344fa0b837 completed April 29, 2026, 9:25 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0fd62dcac8819099aab472e18212e3 completed May 22, 2026, 4:06 a.m.
NEDg Description generation batch_6a0fd819239c81908ec9c8b471654267 completed May 22, 2026, 4:14 a.m.
NED2 Entity disambiguation (via description) batch_6a0fd8d0f6848190a77aff96b4fbcc3d completed May 22, 2026, 4:17 a.m.
Created at: April 17, 2026, 8:38 p.m.