Triple

T22891626
Position Surface form Disambiguated ID Type / Status
Subject Lori Ann Garner E568054 entity
Predicate createdBy P806 FINISHED
Object Allison M. Gibson
Allison M. Gibson is a television writer and producer known for creating and developing American TV series.
 E1560393 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: Allison M. Gibson | Statement: [Lori Ann Garner, createdBy, Allison M. Gibson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Allison M. Gibson
Context triple: [Lori Ann Garner, createdBy, Allison M. Gibson]
  • A. Allison M. Gibson
    Allison M. Gibson is a television writer and producer best known for creating the American sitcom "Reba."
  • B. Alyson C. Johnson
    Alyson C. Johnson is a film editor best known for her work on the 2013 thriller "The Call."
  • C. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • D. Alison L. Coil
    Alison L. Coil is an astrophysicist known for her work on observational cosmology and large-scale structure, including contributions to high-redshift supernova research.
  • E. Christina M. Hixson
    Christina M. Hixson is a philanthropist and longtime supporter of education and the arts, best known for her major charitable contributions to academic institutions.
  • 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: Allison M. Gibson
Triple: [Lori Ann Garner, createdBy, Allison M. Gibson]
Generated description
Allison M. Gibson is a television writer and producer known for creating and developing American TV series.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Allison M. Gibson
Target entity description: Allison M. Gibson is a television writer and producer known for creating and developing American TV series.
  • A. Allison M. Gibson chosen
    Allison M. Gibson is a television writer and producer best known for creating the American sitcom "Reba."
  • B. Alyson C. Johnson
    Alyson C. Johnson is a film editor best known for her work on the 2013 thriller "The Call."
  • C. Amy E. Duddleston
    Amy E. Duddleston is an American film editor known for her work on major studio features and acclaimed television series.
  • D. Alison L. Coil
    Alison L. Coil is an astrophysicist known for her work on observational cosmology and large-scale structure, including contributions to high-redshift supernova research.
  • E. Christina M. Hixson
    Christina M. Hixson is a philanthropist and longtime supporter of education and the arts, best known for her major charitable contributions to academic institutions.
  • 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_69e2458c23ec81908fa2570692c6614f completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f17fc59e108190a22f90c2439830fb completed April 29, 2026, 3:49 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bc23ab51c8190be4ce602a5e9c61b completed May 19, 2026, 1:51 a.m.
NEDg Description generation batch_6a0bc2c2c91081909f571208bec7b49b completed May 19, 2026, 1:54 a.m.
NED2 Entity disambiguation (via description) batch_6a0bc34a79648190b6b3700f441b9a97 completed May 19, 2026, 1:56 a.m.
Created at: April 17, 2026, 3:40 p.m.