Triple

T6540412
Position Surface form Disambiguated ID Type / Status
Subject Marla Gibbs E168270 entity
Predicate film P9968 FINISHED
Object Lost & Found
"Lost & Found" is a film featuring veteran American actress Marla Gibbs, known for her acclaimed work in television and cinema.
E604177 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: Lost & Found | Statement: [Marla Gibbs, film, Lost & Found]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lost & Found
Context triple: [Marla Gibbs, film, Lost & Found]
  • A. Long Lost
    Long Lost is a 2021 concept album by American indie folk band Lord Huron, noted for its nostalgic, cinematic sound and ghostly, old-Hollywood-inspired storytelling.
  • B. Get Lost
    "Get Lost" is a track by Kanye West from his unfinished and Stem Player–exclusive album "Donda 2."
  • C. For Those Lost
    For Those Lost is a socially conscious musical work by jazz pianist and composer Samora Pinderhughes that reflects his signature blend of political commentary and emotional storytelling.
  • D. Kayıp Aranıyor
    Kayıp Aranıyor is a notable work of Turkish literature by Sait Faik Abasıyanık that reflects his characteristic focus on ordinary people and urban life.
  • E. A Place for My Stuff
    A Place for My Stuff is a 1981 comedy album and HBO special by George Carlin featuring his observational stand-up routines and comedic monologues.
  • 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: Lost & Found
Triple: [Marla Gibbs, film, Lost & Found]
Generated description
"Lost & Found" is a film featuring veteran American actress Marla Gibbs, known for her acclaimed work in television and cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Lost & Found
Target entity description: "Lost & Found" is a film featuring veteran American actress Marla Gibbs, known for her acclaimed work in television and cinema.
  • A. Long Lost
    Long Lost is a 2021 concept album by American indie folk band Lord Huron, noted for its nostalgic, cinematic sound and ghostly, old-Hollywood-inspired storytelling.
  • B. Get Lost
    "Get Lost" is a track by Kanye West from his unfinished and Stem Player–exclusive album "Donda 2."
  • C. For Those Lost
    For Those Lost is a socially conscious musical work by jazz pianist and composer Samora Pinderhughes that reflects his signature blend of political commentary and emotional storytelling.
  • D. Kayıp Aranıyor
    Kayıp Aranıyor is a notable work of Turkish literature by Sait Faik Abasıyanık that reflects his characteristic focus on ordinary people and urban life.
  • E. A Place for My Stuff
    A Place for My Stuff is a 1981 comedy album and HBO special by George Carlin featuring his observational stand-up routines and comedic monologues.
  • 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_69c68a51564081909e93aee0dbd9cca3 completed March 27, 2026, 1:46 p.m.
NER Named-entity recognition batch_69c6add7369c8190919cd7c07012a994 completed March 27, 2026, 4:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d53edf108190b74098b41c143a65 completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6aba9688190ada4f921768e314e completed March 27, 2026, 7:12 p.m.
NED2 Entity disambiguation (via description) batch_69c6d837a5248190b0afb39174ac3922 completed March 27, 2026, 7:19 p.m.
Created at: March 27, 2026, 1:50 p.m.