Triple

T9617222
Position Surface form Disambiguated ID Type / Status
Subject Gusteau’s restaurant E232247 entity
Predicate employsCharacter P26582 FINISHED
Object Mustafa
Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
 E814948 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: Mustafa | Statement: [Gusteau’s restaurant, employsCharacter, Mustafa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Mustafa
Context triple: [Gusteau’s restaurant, employsCharacter, Mustafa]
  • A. Mustafa
    Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
  • B. Mahmut
    Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
  • C. Ismail
    Ismail is a prophet in Islamic tradition, revered as a son of Ibrahim (Abraham) and an exemplar of patience and obedience to God.
  • D. Mehmet
    Mehmet is a common Turkish male given name of Arabic origin, widely used across Turkey and among Turkish communities.
  • E. Ibrahim
    Ibrahim was a son of Orhan Gazi, the second ruler of the early Ottoman state.
  • 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: Mustafa
Triple: [Gusteau’s restaurant, employsCharacter, Mustafa]
Generated description
Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Mustafa
Target entity description: Mustafa is a minor character in Pixar's animated film "Ratatouille," serving as the head waiter at Gusteau’s famed Parisian restaurant.
  • A. Mustafa
    Mustafa is the given birth name of Mustafa Kemal Atatürk, the founder and first president of the Republic of Turkey.
  • B. Mahmut
    Mahmut is a masculine given name commonly used in Turkish and related cultures, derived from the Arabic name Mahmoud.
  • C. Ismail
    Ismail is a prophet in Islamic tradition, revered as a son of Ibrahim (Abraham) and an exemplar of patience and obedience to God.
  • D. Mehmet
    Mehmet is a common Turkish male given name of Arabic origin, widely used across Turkey and among Turkish communities.
  • E. Ibrahim
    Ibrahim is the name used in Islamic tradition for the prophet Abraham, a central patriarchal figure revered in Judaism, Christianity, and Islam.
  • 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_69ca84867bb88190b4b57dd5a56d5691 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9aaf3a088190a00a7750c25b6c42 completed April 1, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69d190e248bc819080d0c72c9a65482d completed April 4, 2026, 10:29 p.m.
NEDg Description generation batch_69d193340968819098fcfc8a333cd282 completed April 4, 2026, 10:39 p.m.
NED2 Entity disambiguation (via description) batch_69d1939807ac819087b21a00fd5bccce completed April 4, 2026, 10:41 p.m.
Created at: March 30, 2026, 8:09 p.m.