Triple

T31106913
Position Surface form Disambiguated ID Type / Status
Subject Outpost 32 E792817 entity
Predicate designationInCanon P86766 FINISHED
Object Outpost 32
Outpost 32 is a remote Antarctic research and containment facility featured in the 2011 film "The Thing," serving as a key location in the franchise’s storyline.
 E1947673 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: Outpost 32 | Statement: [Outpost 32, designationInCanon, Outpost 32]
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: Outpost 32
Triple: [Outpost 32, designationInCanon, Outpost 32]
Generated description
Outpost 32 is a remote Antarctic research and containment facility featured in the 2011 film "The Thing," serving as a key location in the franchise’s storyline.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: designationInCanon
Context triple: [Outpost 32, designationInCanon, Outpost 32]
  • A. inCanonWith
    Indicates that two or more works, events, or elements are officially recognized as belonging to the same narrative continuity or canon.
  • B. canonizedAs
    Indicates that an authority, typically a religious institution, has formally declared someone to be a saint or holy figure.
  • C. designationCategory chosen
    Indicates the classification or type of designation assigned to an entity within a broader designation system.
  • D. inCanonAuthor
    Indicates that an author is officially recognized as part of the established canon within a particular fictional or literary universe.
  • E. canonicallyReferredToAs
    Indicates that one entity is the officially recognized or standard name or label by which another entity is known.
  • 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_69f224cfd5d881908ec6447bc321cd58 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd8ccbd4c88190b13aae0673b3c821 completed May 8, 2026, 7:12 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2938b0f98481908e11404e7962f64a completed June 10, 2026, 10:13 a.m.
NEDg Description generation batch_6a293cc4996081909537969cd8aef5d6 completed June 10, 2026, 10:30 a.m.
NED2 Entity disambiguation (via description) batch_6a293e42261c8190b2460a7fbd7d77d4 completed June 10, 2026, 10:36 a.m.
PD Predicate disambiguation batch_69fd8ae2227c819089546f5c3629799e completed May 8, 2026, 7:04 a.m.
Created at: April 29, 2026, 9:03 p.m.