Triple

T31068805
Position Surface form Disambiguated ID Type / Status
Subject Walter E791755 entity
Predicate assignedToShip P27676 FINISHED
Object USCSS Covenant
The USCSS Covenant is a colonization starship featured in the science fiction film "Alien: Covenant," serving as the primary setting for the movie's events.
 E1943972 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: USCSS Covenant | Statement: [Walter, assignedToShip, USCSS Covenant]
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: USCSS Covenant
Triple: [Walter, assignedToShip, USCSS Covenant]
Generated description
The USCSS Covenant is a colonization starship featured in the science fiction film "Alien: Covenant," serving as the primary setting for the movie's events.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: assignedToShip
Context triple: [Walter, assignedToShip, USCSS Covenant]
  • A. hasShip
    Indicates that one entity possesses, owns, or is equipped with a ship.
  • B. shipAssignment chosen
    Indicates the association between a ship and the specific task, route, or entity it has been assigned to.
  • C. assignedToRelease
    Indicates that a task, issue, or item has been allocated to a specific software release or version for delivery.
  • D. assignedTo
    Indicates that responsibility for a task, item, or role has been designated to a specific entity.
  • E. hasShipRole
    Indicates that an entity holds or is assigned a specific role or function on a ship.
  • 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_69f224cc0c5c81908404f087bff92997 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6957d170c8190bfd0bed26b8d1d30 completed May 3, 2026, 12:23 a.m.
NED1 Entity disambiguation (via context triple) batch_6a292b1c1e24819081d4190644d23876 completed June 10, 2026, 9:15 a.m.
NEDg Description generation batch_6a292bba50988190872ce52d274d9ddf completed June 10, 2026, 9:17 a.m.
NED2 Entity disambiguation (via description) batch_6a292c75ef8481908b7b700acfc11de5 completed June 10, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69f690f13d7481908ddfefe95df2a1c2 completed May 3, 2026, 12:04 a.m.
Created at: April 29, 2026, 9:01 p.m.