Triple

T38502840
Position Surface form Disambiguated ID Type / Status
Subject The Other Woman (2009 film) E919886 entity
Predicate basedOn P98 FINISHED
Object Love and Other Impossible Pursuits
Love and Other Impossible Pursuits is a novel by Ayelet Waldman that explores the emotional struggles of a woman coping with grief, stepmotherhood, and the fallout of an affair.
E2272787 NE FINISHED

How this triple was built (2 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: Love and Other Impossible Pursuits | Statement: [The Other Woman (2009 film), basedOn, Love and Other Impossible Pursuits]
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: Love and Other Impossible Pursuits
Triple: [The Other Woman (2009 film), basedOn, Love and Other Impossible Pursuits]
Generated description
Love and Other Impossible Pursuits is a novel by Ayelet Waldman that explores the emotional struggles of a woman coping with grief, stepmotherhood, and the fallout of an affair.

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_69f76e9ddd4481908f8c04439d848f9d completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fcd264449c8190ad01454debd0c73e completed May 7, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_6a41d6596e808190a3775e3708ab270f completed June 29, 2026, 2:20 a.m.
NEDg Description generation batch_6a41d76488e08190aa54210ce86c1c1d completed June 29, 2026, 2:24 a.m.
NED2 Entity disambiguation (via description) batch_6a41d80d37f88190936ab414f4a8285e completed June 29, 2026, 2:27 a.m.
Created at: May 3, 2026, 4:31 p.m.