Triple

T36552570
Position Surface form Disambiguated ID Type / Status
Subject Open Windows E901308 entity
Predicate mainProtagonistTarget P8706 FINISHED
Object actress Jill Goddard
Jill Goddard is a fictional movie star and central figure in the techno-thriller film "Open Windows," whose online harassment and surveillance drive the movie’s suspenseful plot.
 E2188523 NE FINISHED

How this triple was built (3 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: actress Jill Goddard | Statement: [Open Windows, mainProtagonistTarget, actress Jill Goddard]
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: actress Jill Goddard
Triple: [Open Windows, mainProtagonistTarget, actress Jill Goddard]
Generated description
Jill Goddard is a fictional movie star and central figure in the techno-thriller film "Open Windows," whose online harassment and surveillance drive the movie’s suspenseful plot.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: mainProtagonistTarget
Context triple: [Open Windows, mainProtagonistTarget, actress Jill Goddard]
  • A. mainProtagonist
    Indicates that the subject is the central character or primary focus in the narrative of the related work.
  • B. mainProtagonistHome
    Indicates the primary residence or home location associated with the main protagonist in a narrative or work.
  • C. protagonistIs
    Indicates that one entity serves as the main character or central figure in relation to another entity or narrative context.
  • D. hasProtagonist chosen
    Indicates that a work of narrative has a main character who serves as its central focus or driving agent.
  • E. protagonistAction
    Indicates that the referenced entity performs the central or primary action associated with the main character in a narrative or scenario.
  • F. None of above.

Provenance (6 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_69f76e61217081908b79d610fe67b013 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fb2e940d5c8190bceae77daf4ef512 completed May 6, 2026, 12:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a39e6ed9c74819097b61b69de338a00 completed June 23, 2026, 1:52 a.m.
NEDg Description generation batch_6a39e76e610081909e3f832eaf70b746 completed June 23, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_6a39e88d8954819083d2669a9223a0aa completed June 23, 2026, 1:59 a.m.
PD Predicate disambiguation batch_69f9fec70bd881909c658a3c5020318b completed May 5, 2026, 2:29 p.m.
Created at: May 3, 2026, 4:11 p.m.