Triple

T25529932
Position Surface form Disambiguated ID Type / Status
Subject Anacondas: The Hunt for the Blood Orchid E639881 entity
Predicate mainCharacter P1183 FINISHED
Object Gail Stern
Gail Stern is a central character in the horror-adventure film "Anacondas: The Hunt for the Blood Orchid," portrayed as a driven and resourceful member of the expedition into the Borneo jungle.
E1877638 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: Gail Stern | Statement: [Anacondas: The Hunt for the Blood Orchid, mainCharacter, Gail Stern]
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: Gail Stern
Triple: [Anacondas: The Hunt for the Blood Orchid, mainCharacter, Gail Stern]
Generated description
Gail Stern is a central character in the horror-adventure film "Anacondas: The Hunt for the Blood Orchid," portrayed as a driven and resourceful member of the expedition into the Borneo jungle.

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_69e75dbf3f9c8190b3f2a75d1b75d127 completed April 21, 2026, 11:21 a.m.
NER Named-entity recognition batch_69f5f862f7ac819085591f517a266a1a completed May 2, 2026, 1:13 p.m.
NED1 Entity disambiguation (via context triple) batch_6a266138156c8190829cc1164b7c86c9 completed June 8, 2026, 6:29 a.m.
NEDg Description generation batch_6a26658b86e88190b68b3a7d183a72e9 completed June 8, 2026, 6:47 a.m.
NED2 Entity disambiguation (via description) batch_6a266c326a7081909d55ff20b5c3b851 completed June 8, 2026, 7:16 a.m.
Created at: April 21, 2026, 3:13 p.m.