Triple

T13934261
Position Surface form Disambiguated ID Type / Status
Subject Zohra Lampert E335073 entity
Predicate notableWork P4 FINISHED
Object Stanley
"Stanley" is a 1972 American horror film in which Zohra Lampert stars in a story about a Seminole man who uses his pet snakes for revenge.
 E1070338 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: Stanley | Statement: [Zohra Lampert, notableWork, Stanley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Stanley
Context triple: [Zohra Lampert, notableWork, Stanley]
  • A. Stanley
    Stanley is the small, windswept port town that serves as the political and economic center of the Falkland Islands in the South Atlantic Ocean.
  • B. Stanley
    Stanley is a small village in Perth and Kinross, Scotland, situated on the banks of the River Tay and known historically for its cotton mill and scenic riverside setting.
  • C. Stanley
    Stanley is a masculine given name of Old English origin that has been borne by numerous notable figures, including British statesman Stanley Baldwin.
  • D. Stanley
    Stanley is a village located within the Borough of Erewash in Derbyshire, England.
  • E. Stanley
    Stanley is a village and suburb within the City of Wakefield metropolitan district in West Yorkshire, England.
  • 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: Stanley
Triple: [Zohra Lampert, notableWork, Stanley]
Generated description
"Stanley" is a 1972 American horror film in which Zohra Lampert stars in a story about a Seminole man who uses his pet snakes for revenge.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Stanley
Target entity description: "Stanley" is a 1972 American horror film in which Zohra Lampert stars in a story about a Seminole man who uses his pet snakes for revenge.
  • A. Stanley
    Stanley is a coastal town on the southern side of Hong Kong Island known for its market, beaches, and popular tourist promenade.
  • B. Stanley
    Stanley is a small village in Perth and Kinross, Scotland, situated on the banks of the River Tay and known historically for its cotton mill and scenic riverside setting.
  • C. Stanley
    Stanley is a village located within the Borough of Erewash in Derbyshire, England.
  • D. Stanley
    Stanley is a village and suburb within the City of Wakefield metropolitan district in West Yorkshire, England.
  • E. Stanley
    Stanley is a small community located within the rural municipality of Oliver Paipoonge in northwestern Ontario, Canada.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf28df081908d897d7b9ec7939d completed April 14, 2026, 12:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce865ab4819088221189344b3801 completed May 3, 2026, 10:39 p.m.
NEDg Description generation batch_69f9fd5d4abc8190aa10d9f1c9f7f9c9 completed May 5, 2026, 2:23 p.m.
NED2 Entity disambiguation (via description) batch_69fb14bfa2c081908381bb74f040c6c8 completed May 6, 2026, 10:15 a.m.
Created at: April 9, 2026, 10:17 p.m.