Triple

T2727919
Position Surface form Disambiguated ID Type / Status
Subject The Legend of Good Women E60237 entity
Predicate containsStoryOf P6847 FINISHED
Object Phyllis
Phyllis is a tragic figure from classical legend, often depicted as a wronged lover who is transformed into an almond tree after being abandoned.
 E318455 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: Phyllis | Statement: [The Legend of Good Women, containsStoryOf, Phyllis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Phyllis
Context triple: [The Legend of Good Women, containsStoryOf, Phyllis]
  • A. Phyllis
    Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
  • B. Ethel
    Ethel is a feminine given name of Old English origin, historically popular in English-speaking countries.
  • C. Phylicia
    Phylicia is a feminine given name best known through American actress and director Phylicia Rashad.
  • D. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • E. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • 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: Phyllis
Triple: [The Legend of Good Women, containsStoryOf, Phyllis]
Generated description
Phyllis is a tragic figure from classical legend, often depicted as a wronged lover who is transformed into an almond tree after being abandoned.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Phyllis
Target entity description: Phyllis is a tragic figure from classical legend, often depicted as a wronged lover who is transformed into an almond tree after being abandoned.
  • A. Phyllis
    Phyllis is a 1970s American television sitcom, spun off from The Mary Tyler Moore Show, that stars Cloris Leachman as the widowed Phyllis Lindstrom starting a new life in San Francisco.
  • B. Ethel
    Ethel is a feminine given name of Old English origin, historically popular in English-speaking countries.
  • C. Phylicia
    Phylicia is a feminine given name best known through American actress and director Phylicia Rashad.
  • D. Barbara
    Barbara is a station on Paris Métro Line 4 serving the southern suburbs of the French capital.
  • E. Barbara
    Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdacffa6481909df37335e8fdd595 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69b12dfe893c81909c79ea6cffb5bae6 completed March 11, 2026, 8:55 a.m.
NEDg Description generation batch_69b12f07ec088190a63e30f8a1f7937a completed March 11, 2026, 8:59 a.m.
NED2 Entity disambiguation (via description) batch_69b1cb6571388190970bae846bfc57a2 completed March 11, 2026, 8:07 p.m.
Created at: March 6, 2026, 9:56 p.m.