Triple

T24552811
Position Surface form Disambiguated ID Type / Status
Subject The Wackiest Ship in the Army E607417 entity
Predicate titleCharacterVessel P110548 FINISHED
Object USS Echo
USS Echo is the fictional, comically mishap-prone U.S. Army vessel at the center of the 1960s military comedy film and TV series "The Wackiest Ship in the Army."
 E1746170 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: USS Echo | Statement: [The Wackiest Ship in the Army, titleCharacterVessel, USS Echo]
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: USS Echo
Triple: [The Wackiest Ship in the Army, titleCharacterVessel, USS Echo]
Generated description
USS Echo is the fictional, comically mishap-prone U.S. Army vessel at the center of the 1960s military comedy film and TV series "The Wackiest Ship in the Army."
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: titleCharacterVessel
Context triple: [The Wackiest Ship in the Army, titleCharacterVessel, USS Echo]
  • A. namedVesselOf chosen
    Indicates that one entity is the specific named vessel (e.g., ship, boat, or craft) associated with or belonging to another entity.
  • B. vesselDepicted
    Indicates that a vessel (such as a ship, boat, or similar watercraft) is shown or represented in the subject entity.
  • C. shipName
    Indicates the name assigned to a specific ship in the relationship.
  • D. titleCharacterDestination
    Indicates the destination or endpoint that the title character is intended to reach or is associated with in the context of the narrative or action.
  • E. featuresVessel
    Indicates that one entity includes, presents, or prominently displays a particular vessel as part of its composition, content, or configuration.
  • 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_69e2c4cae1b88190825e88d5ce8aa61e completed April 17, 2026, 11:39 p.m.
NER Named-entity recognition batch_69f2a8cf1ef88190977da0fb79796616 completed April 30, 2026, 12:56 a.m.
NED1 Entity disambiguation (via context triple) batch_6a121e66e284819093df1feb202cd573 completed May 23, 2026, 9:38 p.m.
NEDg Description generation batch_6a121f2214c88190a68cd83be4196fc5 completed May 23, 2026, 9:41 p.m.
NED2 Entity disambiguation (via description) batch_6a121f96d69081909fa69572c9e3e1f8 completed May 23, 2026, 9:43 p.m.
PD Predicate disambiguation batch_69f2a6b99e7c8190ba7e2dc8729a314a completed April 30, 2026, 12:47 a.m.
Created at: April 18, 2026, 2:27 a.m.