Triple

T31495608
Position Surface form Disambiguated ID Type / Status
Subject Rose Dawson Calvert E803530 entity
Predicate sharesLifeboatNumber P65997 FINISHED
Object Lifeboat 14 (nearby rescue context)
Lifeboat 14 (nearby rescue context) is the Titanic lifeboat famously depicted in the film "Titanic" as the boat that returns to search for survivors in the freezing Atlantic after the ship sinks.
E1966138 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: Lifeboat 14 (nearby rescue context) | Statement: [Rose Dawson Calvert, sharesLifeboatNumber, Lifeboat 14 (nearby rescue context)]
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: Lifeboat 14 (nearby rescue context)
Triple: [Rose Dawson Calvert, sharesLifeboatNumber, Lifeboat 14 (nearby rescue context)]
Generated description
Lifeboat 14 (nearby rescue context) is the Titanic lifeboat famously depicted in the film "Titanic" as the boat that returns to search for survivors in the freezing Atlantic after the ship sinks.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: sharesLifeboatNumber
Context triple: [Rose Dawson Calvert, sharesLifeboatNumber, Lifeboat 14 (nearby rescue context)]
  • A. sharesLifeboatWith chosen
    Indicates that two or more entities are occupying or using the same lifeboat together.
  • B. hasLifeboats
    Indicates that an entity is equipped with or possesses one or more lifeboats for emergency use.
  • C. hasLifeboatType
    Indicates that an entity is associated with or equipped with a specific type of lifeboat.
  • D. lifeboatCapacity
    Indicates the maximum number of people or load that a lifeboat is designed and certified to safely carry.
  • E. lifeboatsLaunched
    Indicates that lifeboats have been deployed or put into the water from a vessel or structure.
  • 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_69f348cae52081909fa8e5f697523ae3 completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_69ff16775a9881909d26dbc1f0ef3e1c completed May 9, 2026, 11:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b1469bd808190a06368285a4f6680 completed June 11, 2026, 8:02 p.m.
NEDg Description generation batch_6a2b188ec8608190859f015cedf99f91 completed June 11, 2026, 8:20 p.m.
NED2 Entity disambiguation (via description) batch_6a2b19479fbc8190ad8bda73edaf9895 completed June 11, 2026, 8:23 p.m.
PD Predicate disambiguation batch_69ff158e61708190a1c581d0d306cfce completed May 9, 2026, 11:07 a.m.
Created at: April 30, 2026, 9:41 p.m.