Triple

T14535830
Position Surface form Disambiguated ID Type / Status
Subject Princess Fiona E341040 entity
Predicate child P120 FINISHED
Object Farkle
Farkle is one of the ogre triplet children of Princess Fiona and Shrek in the "Shrek" animated film series.
 E1104437 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: Farkle | Statement: [Princess Fiona, child, Farkle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Farkle
Context triple: [Princess Fiona, child, Farkle]
  • A. Dado
    Dado is the nickname of David Elazar, an Israeli military leader who served as Chief of Staff of the Israel Defense Forces during the Yom Kippur War.
  • B. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • C. Ludo
    Ludo is a gentle, horned beast-like creature from the fantasy film "Labyrinth" who befriends Sarah and helps her navigate the Goblin King's maze.
  • D. Roll ’Em
    "Roll ’Em" is a swinging jazz instrumental closely associated with the Benny Goodman Orchestra and the big band era.
  • E. UNO
    UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
  • 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: Farkle
Triple: [Princess Fiona, child, Farkle]
Generated description
Farkle is one of the ogre triplet children of Princess Fiona and Shrek in the "Shrek" animated film series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Farkle
Target entity description: Farkle is one of the ogre triplet children of Princess Fiona and Shrek in the "Shrek" animated film series.
  • A. Dado
    Dado is the nickname of David Elazar, an Israeli military leader who served as Chief of Staff of the Israel Defense Forces during the Yom Kippur War.
  • B. Ludo
    Ludo is a common short form or nickname for the given name Ludovica.
  • C. Ludo
    Ludo is a gentle, horned beast-like creature from the fantasy film "Labyrinth" who befriends Sarah and helps her navigate the Goblin King's maze.
  • D. Roll ’Em
    "Roll ’Em" is a swinging jazz instrumental closely associated with the Benny Goodman Orchestra and the big band era.
  • E. UNO
    UNO is a public research university in New Orleans, Louisiana, known for its diverse academic programs and strong ties to the city's culture and economy.
  • 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_69d822dac79c8190a84a073f3cbaced5 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb1b9d39881908c7a3a5b17d432af completed April 14, 2026, 9:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd7a5ae04881909e7eb766fca33066 completed May 8, 2026, 5:53 a.m.
NEDg Description generation batch_69fd7b0160a08190ae181eb7acb3b6bc completed May 8, 2026, 5:56 a.m.
NED2 Entity disambiguation (via description) batch_69fd7be778dc81908b0602bab944330a completed May 8, 2026, 6 a.m.
Created at: April 10, 2026, 1:22 a.m.