Triple

T9794177
Position Surface form Disambiguated ID Type / Status
Subject Persis Khambatta E237677 entity
Predicate givenName P17 FINISHED
Object Persis
Persis is the given name of Persis Khambatta, an Indian model and actress best known for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
 E822216 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: Persis | Statement: [Persis Khambatta, givenName, Persis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Persis
Context triple: [Persis Khambatta, givenName, Persis]
  • A. Persis
    Persis is the ancient region in southwestern Iran that served as the core homeland and power base of the Persian people and early Persian empires.
  • B. Iliou Persis
    Iliou Persis is an ancient Greek epic poem, now lost, that narrated the sack and destruction of Troy as part of the wider Trojan cycle.
  • C. Ionia
    Ionia was an ancient region on the central western coast of Anatolia, famed as a cradle of Greek philosophy, science, and poetry.
  • D. Mygdonia
    Mygdonia was an ancient historical region in northern Greece, located in what is now central Macedonia near Thessaloniki.
  • E. Arcádia
    Arcádia was a Portuguese publishing house known for releasing influential literary and political works in the mid-20th century.
  • 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: Persis
Triple: [Persis Khambatta, givenName, Persis]
Generated description
Persis is the given name of Persis Khambatta, an Indian model and actress best known for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Persis
Target entity description: Persis is the given name of Persis Khambatta, an Indian model and actress best known for her role as Lieutenant Ilia in "Star Trek: The Motion Picture."
  • A. Persis
    Persis is the ancient region in southwestern Iran that served as the core homeland and power base of the Persian people and early Persian empires.
  • B. Iliou Persis
    Iliou Persis is an ancient Greek epic poem, now lost, that narrated the sack and destruction of Troy as part of the wider Trojan cycle.
  • C. Ionia
    Ionia was an ancient region on the central western coast of Anatolia, famed as a cradle of Greek philosophy, science, and poetry.
  • D. Mygdonia
    Mygdonia was an ancient historical region in northern Greece, located in what is now central Macedonia near Thessaloniki.
  • E. Arcádia
    Arcádia was a Portuguese publishing house known for releasing influential literary and political works in the mid-20th century.
  • 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_69ca84dc04488190b9c91193976c0960 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cda347b6bc8190a99b7dec1650cd46 completed April 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1c43bccfc81909b940b180fe26626 completed April 5, 2026, 2:09 a.m.
NEDg Description generation batch_69d1c5e6a2f881908666328ce72a95ed completed April 5, 2026, 2:16 a.m.
NED2 Entity disambiguation (via description) batch_69d1c68311008190b2d5b8a2fadfba69 completed April 5, 2026, 2:18 a.m.
Created at: March 30, 2026, 8:28 p.m.