Triple

T3813677
Position Surface form Disambiguated ID Type / Status
Subject Zydrunas Ilgauskas E84196 entity
Predicate nickname P55 FINISHED
Object Big Z
Big Z is the longtime Cleveland Cavaliers center Zydrunas Ilgauskas, a two-time NBA All-Star known for his height, shooting touch, and resilience through foot injuries.
 E391730 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: Big Z | Statement: [Zydrunas Ilgauskas, nickname, Big Z]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Big Z
Context triple: [Zydrunas Ilgauskas, nickname, Big Z]
  • A. Big Bub
    Big Bub is an American R&B singer and producer known for his work in the 1990s, including production contributions to Brandy’s debut album.
  • B. Big Wiz
    Big Wiz is the popular moniker of Nigerian singer and global Afrobeats star Wizkid.
  • C. Zeb
    Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
  • D. Big Mo
    Big Mo is a nickname for Mighty Mo, a Samoan-New Zealander kickboxer and mixed martial artist known for his powerful punching and success in K-1 and other combat sports promotions.
  • E. Big Mo
    Big Mo is the fuzzy, orange, biscuit-loving mascot of the Montgomery Biscuits minor league baseball team, known for entertaining fans at their games.
  • 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: Big Z
Triple: [Zydrunas Ilgauskas, nickname, Big Z]
Generated description
Big Z is the longtime Cleveland Cavaliers center Zydrunas Ilgauskas, a two-time NBA All-Star known for his height, shooting touch, and resilience through foot injuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Big Z
Target entity description: Big Z is the longtime Cleveland Cavaliers center Zydrunas Ilgauskas, a two-time NBA All-Star known for his height, shooting touch, and resilience through foot injuries.
  • A. Big Bub
    Big Bub is an American R&B singer and producer known for his work in the 1990s, including production contributions to Brandy’s debut album.
  • B. Big Wiz
    Big Wiz is the popular moniker of Nigerian singer and global Afrobeats star Wizkid.
  • C. Zeb
    Zeb is a central character in Margaret Atwood's dystopian novel "MaddAddam," known for his complex past and role in the post-apocalyptic narrative.
  • D. Big Mo
    Big Mo is a nickname for Mighty Mo, a Samoan-New Zealander kickboxer and mixed martial artist known for his powerful punching and success in K-1 and other combat sports promotions.
  • E. Big Mo
    Big Mo is the fuzzy, orange, biscuit-loving mascot of the Montgomery Biscuits minor league baseball team, known for entertaining fans at their games.
  • 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_69aed931f5908190be2c07af66d4df25 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee8dd315481908bef595b56a4f0cb completed March 9, 2026, 3:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4fb3ddc1481909fd4a8befb8ece17 completed March 14, 2026, 6:07 a.m.
NEDg Description generation batch_69b4fbd93b1481909f89d807ef870aa7 completed March 14, 2026, 6:10 a.m.
NED2 Entity disambiguation (via description) batch_69b4ffc51bc08190aef4548a351b5604 completed March 14, 2026, 6:27 a.m.
Created at: March 9, 2026, 3:17 p.m.