Triple

T5949217
Position Surface form Disambiguated ID Type / Status
Subject Laura Prepon E132354 entity
Predicate notableWork P4 FINISHED
Object Are You There, Chelsea?
Are You There, Chelsea? is a short-lived American sitcom based on Chelsea Handler’s book "Are You There, Vodka? It’s Me, Chelsea," featuring Laura Prepon in a leading role.
 E559603 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: Are You There, Chelsea? | Statement: [Laura Prepon, notableWork, Are You There, Chelsea?]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Are You There, Chelsea?
Context triple: [Laura Prepon, notableWork, Are You There, Chelsea?]
  • A. Hello in There
    "Hello in There" is a poignant folk ballad by John Prine, best known through Bette Midler’s emotive cover, that reflects on aging and loneliness.
  • B. If You’re Out There
    "If You’re Out There" is an uplifting, socially conscious pop-soul song by John Legend that calls for collective action and global unity.
  • C. I Was There
    "I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
  • D. I Was There
    "I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
  • E. Get Me There
    Get Me There is a smart ticketing and payment system used across Greater Manchester’s public transport network.
  • 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: Are You There, Chelsea?
Triple: [Laura Prepon, notableWork, Are You There, Chelsea?]
Generated description
Are You There, Chelsea? is a short-lived American sitcom based on Chelsea Handler’s book "Are You There, Vodka? It’s Me, Chelsea," featuring Laura Prepon in a leading role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Are You There, Chelsea?
Target entity description: Are You There, Chelsea? is a short-lived American sitcom based on Chelsea Handler’s book "Are You There, Vodka? It’s Me, Chelsea," featuring Laura Prepon in a leading role.
  • A. Hello in There
    "Hello in There" is a poignant folk ballad by John Prine, best known through Bette Midler’s emotive cover, that reflects on aging and loneliness.
  • B. If You’re Out There
    "If You’re Out There" is an uplifting, socially conscious pop-soul song by John Legend that calls for collective action and global unity.
  • C. I Was There
    "I Was There" is a song by the American punk rock band Green Day, featured on their debut studio album 39/Smooth.
  • D. I Was There
    "I Was There" is the memoir of Fleet Admiral William D. Leahy, offering an insider’s account of high-level Allied strategy and decision-making during World War II.
  • E. Get Me There
    Get Me There is a smart ticketing and payment system used across Greater Manchester’s public transport network.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0397deea08190b9397d0413740300 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0e3c4120c8190bab97f91a7bc7030 completed March 23, 2026, 6:55 a.m.
NEDg Description generation batch_69c0f66f787c81909f76556d8e688a9a completed March 23, 2026, 8:14 a.m.
NED2 Entity disambiguation (via description) batch_69c0f73744b08190b82c538fa723c42a completed March 23, 2026, 8:17 a.m.
Created at: March 22, 2026, 4:02 p.m.