Triple

T9656977
Position Surface form Disambiguated ID Type / Status
Subject Hawkins E233482 entity
Predicate hasVariant P455 FINISHED
Object Hawken
Hawken is a surname and given name of English origin, used as a variant of Hawkins.
 E813532 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: Hawken | Statement: [Hawkins, hasVariant, Hawken]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Hawken
Context triple: [Hawkins, hasVariant, Hawken]
  • A. Haven City
    Haven City is a heavily fortified, dystopian metropolis in the Jak and Daxter video game series, known for its oppressive regime, advanced technology, and constant conflict with invading forces.
  • B. Redshore City
    Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
  • C. Seahaven
    Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
  • D. Worldport
    Worldport is UPS Airlines’ massive global air freight hub and sorting facility located at Louisville Muhammad Ali International Airport in Kentucky.
  • E. Onset Bay
    Onset Bay is a coastal inlet in southeastern Massachusetts known for its sheltered waters, beaches, and recreational boating near the village of Onset.
  • 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: Hawken
Triple: [Hawkins, hasVariant, Hawken]
Generated description
Hawken is a surname and given name of English origin, used as a variant of Hawkins.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Hawken
Target entity description: Hawken is a surname and given name of English origin, used as a variant of Hawkins.
  • A. Haven City
    Haven City is a heavily fortified, dystopian metropolis in the Jak and Daxter video game series, known for its oppressive regime, advanced technology, and constant conflict with invading forces.
  • B. Redshore City
    Redshore City is a glitzy, entertainment-focused metropolis in the animated film "Sing 2," inspired by places like Las Vegas and Hollywood.
  • C. Seahaven
    Seahaven is the idyllic, meticulously controlled fictional town where the protagonist unknowingly lives inside a televised reality show in the film "The Truman Show."
  • D. Worldport
    Worldport is UPS Airlines’ massive global air freight hub and sorting facility located at Louisville Muhammad Ali International Airport in Kentucky.
  • E. Onset Bay
    Onset Bay is a coastal inlet in southeastern Massachusetts known for its sheltered waters, beaches, and recreational boating near the village of Onset.
  • 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_69ca848c1ba88190b84b410cd14627fc completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9bdd5c0c8190a6c82a1609454d1b completed April 1, 2026, 10:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a07444c819099d7462c38f6da49 completed April 4, 2026, 10 p.m.
NEDg Description generation batch_69d18a7f4074819086316d0236f09e0b completed April 4, 2026, 10:02 p.m.
NED2 Entity disambiguation (via description) batch_69d18af220808190b91eb750f2939e4e completed April 4, 2026, 10:04 p.m.
Created at: March 30, 2026, 8:14 p.m.