Triple

T14897010
Position Surface form Disambiguated ID Type / Status
Subject Penrith Panthers E359902 entity
Predicate notablePlayer P304 FINISHED
Object Jarome Luai
Jarome Luai is a New Zealand-born Samoan international rugby league five-eighth known for his creativity, running game, and key role in multiple NRL premierships.
E1125184 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: Jarome Luai | Statement: [Penrith Panthers, notablePlayer, Jarome Luai]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jarome Luai
Context triple: [Penrith Panthers, notablePlayer, Jarome Luai]
  • A. Jabez Olssen
    Jabez Olssen is a New Zealand film editor best known for his work on major Peter Jackson projects, including the Lord of the Rings and Hobbit film series.
  • B. Alex Tuch
    Alex Tuch is an American professional ice hockey winger in the NHL known for his size, speed, and scoring ability.
  • C. Roman Josi
    Roman Josi is a Swiss professional ice hockey defenseman and team captain renowned as one of the NHL’s elite blueliners.
  • D. Tyler Johnson
    Tyler Johnson is an actor known for his role in the romantic drama film "Afterburn/Aftershock."
  • E. Tyler Johnson
    Tyler Johnson is an actor known for his role in the romantic comedy film "The Matchmaker’s Playbook."
  • 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: Jarome Luai
Triple: [Penrith Panthers, notablePlayer, Jarome Luai]
Generated description
Jarome Luai is a New Zealand-born Samoan international rugby league five-eighth known for his creativity, running game, and key role in multiple NRL premierships.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jarome Luai
Target entity description: Jarome Luai is a New Zealand-born Samoan international rugby league five-eighth known for his creativity, running game, and key role in multiple NRL premierships.
  • A. Jabez Olssen
    Jabez Olssen is a New Zealand film editor best known for his work on major Peter Jackson projects, including the Lord of the Rings and Hobbit film series.
  • B. Alex Tuch
    Alex Tuch is an American professional ice hockey winger in the NHL known for his size, speed, and scoring ability.
  • C. Roman Josi
    Roman Josi is a Swiss professional ice hockey defenseman and team captain renowned as one of the NHL’s elite blueliners.
  • D. Tyler Johnson
    Tyler Johnson is an actor known for his role in the romantic drama film "Afterburn/Aftershock."
  • E. Tyler Johnson
    Tyler Johnson is an actor known for his role in the romantic comedy film "The Matchmaker’s Playbook."
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded6070b248190be8f4f91a0c0b1f3 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b6966e88190a0ed475b22a77cf1 completed May 8, 2026, 11:02 p.m.
NEDg Description generation batch_69fe6d199298819081207e27dfdf485f completed May 8, 2026, 11:09 p.m.
NED2 Entity disambiguation (via description) batch_69fe6de49480819087b36c070c434bf7 completed May 8, 2026, 11:12 p.m.
Created at: April 10, 2026, 2:11 a.m.