Triple

T13147973
Position Surface form Disambiguated ID Type / Status
Subject Amulet E312388 entity
Predicate mainCharacter P1183 FINISHED
Object Tomaz
Tomaz is the protagonist of the story "Amulet," around whom the central plot and character development revolve.
 E1024660 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: Tomaz | Statement: [Amulet, mainCharacter, Tomaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tomaz
Context triple: [Amulet, mainCharacter, Tomaz]
  • A. Tomas
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • B. Tomasso
    Tomasso is a character from the Marx Brothers’ classic comedy film "A Night at the Opera," contributing to the movie’s farcical and musical antics.
  • C. Tomasino
    Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
  • D. Tino
    Tino is a small Italian island in the Ligurian Sea, known for its military base, lighthouse, and historic monastery ruins near the Gulf of La Spezia.
  • E. Tino
    Tino is the commonly used nickname of former Major League Baseball first baseman Tino Martinez, best known for his years with the New York Yankees in the late 1990s and early 2000s.
  • 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: Tomaz
Triple: [Amulet, mainCharacter, Tomaz]
Generated description
Tomaz is the protagonist of the story "Amulet," around whom the central plot and character development revolve.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tomaz
Target entity description: Tomaz is the protagonist of the story "Amulet," around whom the central plot and character development revolve.
  • A. Tomas
    Tomas is a masculine given name commonly used in various European and Latin American countries, often equivalent to "Thomas" in English.
  • B. Tomasso
    Tomasso is a character from the Marx Brothers’ classic comedy film "A Night at the Opera," contributing to the movie’s farcical and musical antics.
  • C. Tomasino
    Tomasino is the colloquial term used to refer to students of the University of Santo Tomas in the Philippines.
  • D. Tino
    Tino is a small Italian island in the Ligurian Sea, known for its military base, lighthouse, and historic monastery ruins near the Gulf of La Spezia.
  • E. Tino
    Tino is the commonly used nickname of former Major League Baseball first baseman Tino Martinez, best known for his years with the New York Yankees in the late 1990s and early 2000s.
  • 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_69d806aabde48190899e13e41659cae5 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98bd0f5b08190ab700c5de1c8e138 completed April 10, 2026, 11:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eae834908190aecb825db1d705ff completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6eb9ff2a881908004cc060b892f48 completed May 3, 2026, 6:30 a.m.
NED2 Entity disambiguation (via description) batch_69f6ec67be70819087d6c49a85d163bc completed May 3, 2026, 6:34 a.m.
Created at: April 9, 2026, 9:10 p.m.