Triple

T3931358
Position Surface form Disambiguated ID Type / Status
Subject The Cloverfield Paradox E90800 entity
Predicate mainCharacter P1183 FINISHED
Object Tam
Tam is a key crew member and engineer aboard the space station in the science fiction horror film "The Cloverfield Paradox."
 E399455 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: Tam | Statement: [The Cloverfield Paradox, mainCharacter, Tam]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tam
Context triple: [The Cloverfield Paradox, mainCharacter, Tam]
  • A. Tan
    Tan is a surname and given name commonly found in various East and Southeast Asian cultures, often representing a romanization of different Chinese family names.
  • B. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • C. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • D. Tim
    Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
  • E. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • 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: Tam
Triple: [The Cloverfield Paradox, mainCharacter, Tam]
Generated description
Tam is a key crew member and engineer aboard the space station in the science fiction horror film "The Cloverfield Paradox."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tam
Target entity description: Tam is a key crew member and engineer aboard the space station in the science fiction horror film "The Cloverfield Paradox."
  • A. Tan
    Tan is a surname and given name commonly found in various East and Southeast Asian cultures, often representing a romanization of different Chinese family names.
  • B. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • C. Tad
    Tad is the affectionate nickname of Thomas "Tad" Lincoln, the youngest son of U.S. President Abraham Lincoln.
  • D. Tim
    Tim is the given name of Tim Wu, a prominent legal scholar and policy advocate known for coining the term "net neutrality."
  • E. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • 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_69aed95f26e0819094b0e71974543a19 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeeda98058819094dd6ab223670860 completed March 9, 2026, 3:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5288408f0819090217513e7a21091 completed March 14, 2026, 9:21 a.m.
NEDg Description generation batch_69b5294a9b80819083124bc2ff6828aa completed March 14, 2026, 9:24 a.m.
NED2 Entity disambiguation (via description) batch_69b529f6a3488190a7a9ae37f71cff56 completed March 14, 2026, 9:27 a.m.
Created at: March 9, 2026, 3:23 p.m.