Triple

T13951587
Position Surface form Disambiguated ID Type / Status
Subject Gloria Swanson E335539 entity
Predicate givenName P17 FINISHED
Object Gloria
Gloria is a feminine given name that gained widespread recognition through notable bearers such as actress Gloria Swanson.
E288399 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: Gloria | Statement: [Gloria Swanson, givenName, Gloria]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gloria
Context triple: [Gloria Swanson, givenName, Gloria]
  • A. Gloria
    "Gloria" is a 2019 folk-rock single by American band The Lumineers, known for its raw portrayal of addiction and family struggle.
  • B. Gloria
    Gloria is an American sitcom centered on Gloria Stivic, the daughter from "All in the Family," as she navigates life as a single mother.
  • C. Gloria
    "Gloria" is a classic 1964 rock song by Van Morrison, originally recorded with his band Them and later widely covered, known for its simple three-chord structure and iconic shouted chorus.
  • D. Gloria
    "Gloria" is a stage play by Branden Jacobs-Jenkins that satirically explores ambition, trauma, and media exploitation within the culture of a New York publishing office.
  • E. Gloria
    Gloria is a joyful hymn of praise in Christian liturgy, traditionally sung during major celebrations such as the Easter Vigil.
  • 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: Gloria
Triple: [Gloria Swanson, givenName, Gloria]
Generated description
Gloria is a feminine given name that gained widespread recognition through notable bearers such as actress Gloria Swanson.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gloria
Target entity description: Gloria is a feminine given name that gained widespread recognition through notable bearers such as actress Gloria Swanson.
  • A. Gloria chosen
    Gloria is a feminine given name of Latin origin meaning "glory," borne by numerous notable figures in entertainment, politics, and literature.
  • B. Gloria
    "Gloria" is a 1982 dance-pop hit song by American singer Laura Branigan that became one of her signature tracks and a major international success.
  • C. Gloria
    Gloria is a central human character in the 2023 film "Barbie," portrayed as a Mattel employee and mother whose personal struggles and imagination help bridge the real world with Barbie Land.
  • D. Gloria
    "Gloria" is a work associated with Northern Irish actor Colin Morgan, known for his roles in television, film, and theatre.
  • E. Gloria
    Gloria is a charismatic female emperor penguin from the Happy Feet animated film series, known for her powerful singing voice and as Mumble’s love interest and mate.
  • F. None of above.

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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2e131c608190b4ffdbada24a3208 completed April 14, 2026, 12:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1cca84881909c7733bbc2609eea completed May 6, 2026, 8:17 p.m.
NEDg Description generation batch_69fba6af4ed881908cb4b79cfa40977c completed May 6, 2026, 8:38 p.m.
NED2 Entity disambiguation (via description) batch_69fba71a91fc8190b24185994673b33b completed May 6, 2026, 8:39 p.m.
Created at: April 9, 2026, 10:17 p.m.