Triple

T32795072
Position Surface form Disambiguated ID Type / Status
Subject Marsha White E838737 entity
Predicate hasNameInUniverse P197744 FINISHED
Object Miss Marsha White
Miss Marsha White is the central character in the classic The Twilight Zone episode "The After Hours," known for her eerie experience in a mysterious department store.
 E2022688 NE FINISHED

How this triple was built (3 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: Miss Marsha White | Statement: [Marsha White, hasNameInUniverse, Miss Marsha White]
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: Miss Marsha White
Triple: [Marsha White, hasNameInUniverse, Miss Marsha White]
Generated description
Miss Marsha White is the central character in the classic The Twilight Zone episode "The After Hours," known for her eerie experience in a mysterious department store.
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasNameInUniverse
Context triple: [Marsha White, hasNameInUniverse, Miss Marsha White]
  • A. inUniverseFamilyName
    Indicates that an entity has a specific family surname within a particular fictional or narrative universe.
  • B. namedAfterInUniverse
    Indicates that one entity is, within the fictional or narrative universe, explicitly stated or implied to be named after another entity.
  • C. universeName
    Indicates the name or designated title assigned to a particular universe or cosmic setting.
  • D. nameIsCommonIn
    Indicates that a given name is frequently used or widely occurring within a specified group, region, or context.
  • E. hasNameInFamily
    Indicates that an entity is known or referred to by a particular name within the context of a specific family or familial group.
  • F. None of above. chosen

Provenance (7 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_69f3493c7f6881908edf2aa13631d1e0 completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69fea5e828cc8190a9b755a645dc56d2 completed May 9, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_6a34b16e70388190a89519e4def150b9 completed June 19, 2026, 3:03 a.m.
NEDg Description generation batch_6a34b2507fa48190873d80197bc0eefc completed June 19, 2026, 3:06 a.m.
NED2 Entity disambiguation (via description) batch_6a34b2e5c568819099352545177c81b7 completed June 19, 2026, 3:09 a.m.
PD Predicate disambiguation batch_69fea36443f08190b2aced9b4a0525fd completed May 9, 2026, 3 a.m.
PDg Predicate description generation batch_69fea5e75a5481908a04d91ee7255ebb completed May 9, 2026, 3:11 a.m.
Created at: May 1, 2026, 1:14 a.m.