Triple

T21951888
Position Surface form Disambiguated ID Type / Status
Subject Hydro-Man E542088 entity
Predicate hasAlias P455 FINISHED
Object Hydroman
Hydroman is a Marvel Comics supervillain with water-based powers who frequently battles Spider-Man.
E1510538 NE FINISHED

How this triple was built (4 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: Hydroman | Statement: [Hydro-Man, hasAlias, Hydroman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hydroman
Context triple: [Hydro-Man, hasAlias, Hydroman]
  • A. Flomaton
    Flomaton is a small town in Escambia County, Alabama, known as a historic railroad junction near the Florida state line.
  • B. Rainmaster
    Rainmaster was the famous nickname of German racing driver Rudolf Caracciola, renowned for his exceptional skill in wet-weather Grand Prix conditions.
  • C. Meca
    Meca is a civil parish located in the municipality of Alenquer in Portugal, known for its rural character and traditional Portuguese landscape.
  • D. Rhizon
    Rhizon was an ancient Illyrian city that served as a significant political and economic center on the eastern Adriatic coast.
  • E. PowerJet
    PowerJet is a Franco-Russian joint venture between Safran Aircraft Engines and NPO Saturn that specializes in designing and producing aircraft turbofan engines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Hydroman
Triple: [Hydro-Man, hasAlias, Hydroman]
Generated description
Hydroman is a Marvel Comics supervillain with water-based powers who frequently battles Spider-Man.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Hydroman
Target entity description: Hydroman is a Marvel Comics supervillain with water-based powers who frequently battles Spider-Man.
  • A. Flomaton
    Flomaton is a small town in Escambia County, Alabama, known as a historic railroad junction near the Florida state line.
  • B. Rainmaster
    Rainmaster was the famous nickname of German racing driver Rudolf Caracciola, renowned for his exceptional skill in wet-weather Grand Prix conditions.
  • C. Meca
    Meca is a civil parish located in the municipality of Alenquer in Portugal, known for its rural character and traditional Portuguese landscape.
  • D. Rhizon
    Rhizon was an ancient Illyrian city that served as a significant political and economic center on the eastern Adriatic coast.
  • E. PowerJet
    PowerJet is a Franco-Russian joint venture between Safran Aircraft Engines and NPO Saturn that specializes in designing and producing aircraft turbofan engines.
  • F. None of above. chosen

Provenance (5 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f1243c84d4819097f5a93b128f024b completed April 28, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a67042a648190b914e82576e0e6cf completed May 18, 2026, 1:10 a.m.
NEDg Description generation batch_6a0a67d2d0e48190ae4acdc2de1371e7 completed May 18, 2026, 1:13 a.m.
NED2 Entity disambiguation (via description) batch_6a0a68846fb88190bbe1510608aa9468 completed May 18, 2026, 1:16 a.m.
Created at: April 16, 2026, 7:58 p.m.