Triple

T32485737
Position Surface form Disambiguated ID Type / Status
Subject Hannah Khoury E830234 entity
Predicate hasStoryLocation P9801 FINISHED
Object New Orleans field office
The New Orleans field office is a regional investigative hub featured in the TV series "NCIS: New Orleans," serving as the primary workplace and operational base for the show's main characters.
 E2009075 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: New Orleans field office | Statement: [Hannah Khoury, hasStoryLocation, New Orleans field office]
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: New Orleans field office
Triple: [Hannah Khoury, hasStoryLocation, New Orleans field office]
Generated description
The New Orleans field office is a regional investigative hub featured in the TV series "NCIS: New Orleans," serving as the primary workplace and operational base for the show's main characters.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasStoryLocation
Context triple: [Hannah Khoury, hasStoryLocation, New Orleans field office]
  • A. hasOriginStoryLocation
    Indicates that an entity’s origin story takes place at or is associated with a specific location.
  • B. hasStoryPath
    Indicates that there exists a defined narrative route or sequence of events connecting one entity to another within a story or interactive experience.
  • C. locationOfNarrative chosen
    Indicates the place or setting where the events or story described in the narrative occur.
  • D. storyTakesPlaceOver
    Indicates that a story unfolds across or spans a specified duration of time.
  • E. homeLocationInStory
    Indicates the place that serves as a character’s primary home or base of residence within the context of the story.
  • 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_69f34920aa4081908d8fb0277414b911 completed April 30, 2026, 12:20 p.m.
NER Named-entity recognition batch_69ff136ed2a881908f713401083970d1 completed May 9, 2026, 10:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a3466a452588190b901f41613899807 completed June 18, 2026, 9:44 p.m.
NEDg Description generation batch_6a3468104f4c8190bfae60a51dee0b35 completed June 18, 2026, 9:50 p.m.
NED2 Entity disambiguation (via description) batch_6a346ae8a91081909a10179607fe69a8 completed June 18, 2026, 10:02 p.m.
PD Predicate disambiguation batch_69ff10f9e3448190b6cb6ea5a67713c1 completed May 9, 2026, 10:48 a.m.
Created at: May 1, 2026, 12:58 a.m.