Triple

T9319598
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Reaser E224211 entity
Predicate notableWork P4 FINISHED
Object Saved
"Saved" is a television drama series featuring Elizabeth Reaser in a prominent role, centered on the intense personal and professional challenges within the world of emergency medical services.
 E791872 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: Saved | Statement: [Elizabeth Reaser, notableWork, Saved]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Saved
Context triple: [Elizabeth Reaser, notableWork, Saved]
  • A. Save
    The Save is a river in southwestern France that flows through the Occitanie region before joining the Garonne.
  • B. SAVE
    SAVE is the stock ticker symbol for Spirit Airlines, a U.S.-based ultra-low-cost carrier known for its no-frills service model.
  • C. Salva
    Salva is the alias used by the mastermind character known as The Professor in the Spanish heist television series "Money Heist" (La Casa de Papel).
  • D. Saved These Words
    "Saved These Words" is the closing track of Laura Marling's 2013 folk album "Once I Was an Eagle," noted for its reflective lyrics and intimate acoustic arrangement.
  • E. SAV
    SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, 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: Saved
Triple: [Elizabeth Reaser, notableWork, Saved]
Generated description
"Saved" is a television drama series featuring Elizabeth Reaser in a prominent role, centered on the intense personal and professional challenges within the world of emergency medical services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Saved
Target entity description: "Saved" is a television drama series featuring Elizabeth Reaser in a prominent role, centered on the intense personal and professional challenges within the world of emergency medical services.
  • A. Save
    The Save is a river in southwestern France that flows through the Occitanie region before joining the Garonne.
  • B. SAVE
    SAVE is the stock ticker symbol for Spirit Airlines, a U.S.-based ultra-low-cost carrier known for its no-frills service model.
  • C. Salva
    Salva is the alias used by the mastermind character known as The Professor in the Spanish heist television series "Money Heist" (La Casa de Papel).
  • D. Saved These Words
    "Saved These Words" is the closing track of Laura Marling's 2013 folk album "Once I Was an Eagle," noted for its reflective lyrics and intimate acoustic arrangement.
  • E. SAV
    SAV is the National Rail station code for Stratford-upon-Avon railway station in Warwickshire, England.
  • 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_69ca8426d48481909596360f7791c7dd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd358c7d348190a10fd8670d7756f5 completed April 1, 2026, 3:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0c7c1fc848190bbb3ef6a1ed7a7d2 completed April 4, 2026, 8:11 a.m.
NEDg Description generation batch_69d0ca049fdc819091e101d8cdcfb7e8 completed April 4, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d0cc6239108190b921eface5cdd543 completed April 4, 2026, 8:31 a.m.
Created at: March 30, 2026, 7:38 p.m.