Triple

T22974116
Position Surface form Disambiguated ID Type / Status
Subject Francesca Delbanco E571265 entity
Predicate notableWork P4 FINISHED
Object Ask Me Anything
Ask Me Anything is a novel by Francesca Delbanco that follows a college student whose anonymous online advice column complicates her personal relationships and self-discovery.
 E1564134 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: Ask Me Anything | Statement: [Francesca Delbanco, notableWork, Ask Me Anything]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ask Me Anything
Context triple: [Francesca Delbanco, notableWork, Ask Me Anything]
  • A. Question Me an Answer
    "Question Me an Answer" is a musical number featured in the 1973 film adaptation of "Lost Horizon."
  • B. Ask 4 Me
    "Ask 4 Me" is a track by The Game from his 2019 studio album "Born 2 Rap."
  • C. Ask
    Ask is a small village located in the municipality of Ringerike in Buskerud county, Norway.
  • D. Ask
    Ask is a village in Vestland county, Norway, situated on the island of Askøy near the city of Bergen.
  • E. Ask
    Ask was a rebranded version of the Ask Jeeves web search engine, offering general internet search services.
  • 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: Ask Me Anything
Triple: [Francesca Delbanco, notableWork, Ask Me Anything]
Generated description
Ask Me Anything is a novel by Francesca Delbanco that follows a college student whose anonymous online advice column complicates her personal relationships and self-discovery.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ask Me Anything
Target entity description: Ask Me Anything is a novel by Francesca Delbanco that follows a college student whose anonymous online advice column complicates her personal relationships and self-discovery.
  • A. Question Me an Answer
    "Question Me an Answer" is a musical number featured in the 1973 film adaptation of "Lost Horizon."
  • B. Ask 4 Me
    "Ask 4 Me" is a track by The Game from his 2019 studio album "Born 2 Rap."
  • C. Ask
    Ask is a small village located in the municipality of Ringerike in Buskerud county, Norway.
  • D. Ask
    Ask is a village in Vestland county, Norway, situated on the island of Askøy near the city of Bergen.
  • E. Ask
    Ask was a rebranded version of the Ask Jeeves web search engine, offering general internet search services.
  • 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_69e245b2c6548190a0e4c7f2f7df2d48 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f182350b448190a34e5fa0167fd964 completed April 29, 2026, 3:59 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bca2a23a4819084b0515313dbd2e8 completed May 19, 2026, 2:25 a.m.
NEDg Description generation batch_6a0bccfc76ec8190bf03fb580f4a5b50 completed May 19, 2026, 2:37 a.m.
NED2 Entity disambiguation (via description) batch_6a0bcd615d9081908b30ad2f2efcf4ea completed May 19, 2026, 2:39 a.m.
Created at: April 17, 2026, 3:48 p.m.