Triple

T35381185
Position Surface form Disambiguated ID Type / Status
Subject Alene Lee E1022652 entity
Predicate portrayedAs P662 FINISHED
Object Mardou Fox in "The Subterraneans"
Mardou Fox in "The Subterraneans" is the semi-fictional Beat-era heroine inspired by Alene Lee, depicted as the free-spirited, emotionally complex lover of the novel’s Kerouac-like narrator.
E2138858 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: Mardou Fox in "The Subterraneans" | Statement: [Alene Lee, portrayedAs, Mardou Fox in "The Subterraneans"]
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: Mardou Fox in "The Subterraneans"
Triple: [Alene Lee, portrayedAs, Mardou Fox in "The Subterraneans"]
Generated description
Mardou Fox in "The Subterraneans" is the semi-fictional Beat-era heroine inspired by Alene Lee, depicted as the free-spirited, emotionally complex lover of the novel’s Kerouac-like narrator.

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_69f76df28d8c819089f2c5799fe7d079 completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f79468648c81909e20224373ebae54 completed May 3, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a382cbcb1388190b89aa1e2e389ef36 completed June 21, 2026, 6:26 p.m.
NEDg Description generation batch_6a382d58e2b48190a1070bedf3aa5fff completed June 21, 2026, 6:28 p.m.
NED2 Entity disambiguation (via description) batch_6a382e1f37188190ac188d12cc6dce07 completed June 21, 2026, 6:31 p.m.
Created at: May 3, 2026, 4:03 p.m.