Triple

T1201401
Position Surface form Disambiguated ID Type / Status
Subject Test Pilot (1938 film) E25788 entity
Predicate costumeDesignBy P184 FINISHED
Object Adrian
Adrian was a renowned Hollywood costume designer best known for creating glamorous and influential fashions for classic MGM films of the 1930s and 1940s.
 E137635 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: Adrian | Statement: [Test Pilot (1938 film), costumeDesignBy, Adrian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Adrian
Context triple: [Test Pilot (1938 film), costumeDesignBy, Adrian]
  • A. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • B. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • C. Tobias
    Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • 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: Adrian
Triple: [Test Pilot (1938 film), costumeDesignBy, Adrian]
Generated description
Adrian was a renowned Hollywood costume designer best known for creating glamorous and influential fashions for classic MGM films of the 1930s and 1940s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Adrian
Target entity description: Adrian was a renowned Hollywood costume designer best known for creating glamorous and influential fashions for classic MGM films of the 1930s and 1940s.
  • A. Andreas
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • B. Tobias
    Tobias was a Native American man from the 17th-century Wampanoag community, known primarily through his familial connection to the Sakonnet leader Awashonks.
  • C. Tobias
    Tobias is the virtuous young protagonist of the biblical Book of Tobit, known for his journey with the angel Raphael and the healing of his father’s blindness.
  • D. Jeffrey
    Jeffrey is a masculine given name of Germanic origin, commonly used in English-speaking countries.
  • E. Gavin
    Gavin is a masculine given name of Celtic origin, commonly used in English-speaking countries.
  • 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_69a49429f5ec8190a6a205eb0ae81e5e completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bd9fece4819089a6a2d61e61fa2e completed March 1, 2026, 10:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f3a48d48190ae5179312b52b3ee completed March 7, 2026, 7:40 p.m.
NEDg Description generation batch_69ac7fc59a488190adbdf156aaff8c03 completed March 7, 2026, 7:43 p.m.
NED2 Entity disambiguation (via description) batch_69ac806a6d748190acc5cdfa8fb90a64 completed March 7, 2026, 7:45 p.m.
Created at: March 1, 2026, 7:46 p.m.