Triple

T12499358
Position Surface form Disambiguated ID Type / Status
Subject Patricia Medina E298776 entity
Predicate notableWork P4 FINISHED
Object Sangaree
Sangaree is a 1953 Technicolor period drama film, notable as one of the early 3D movies, in which Patricia Medina stars in a story of political intrigue and romance in post-Revolutionary War Savannah.
E987811 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: Sangaree | Statement: [Patricia Medina, notableWork, Sangaree]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sangaree
Context triple: [Patricia Medina, notableWork, Sangaree]
  • A. Shera
    Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
  • B. Teniade Saraki
    Teniade Saraki is a member of the prominent Saraki family of Nigerian politicians and public figures.
  • C. Tsaangi
    Tsaangi is a Bantu language of Central Africa closely related to Njebi and spoken by communities in Gabon.
  • D. Mulachara
    Mulachara is an important early Digambara Jain scripture that outlines fundamental ethical conduct and monastic discipline for Jain ascetics.
  • E. Shugni
    Shugni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan by the Shughni people.
  • 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: Sangaree
Triple: [Patricia Medina, notableWork, Sangaree]
Generated description
Sangaree is a 1953 Technicolor period drama film, notable as one of the early 3D movies, in which Patricia Medina stars in a story of political intrigue and romance in post-Revolutionary War Savannah.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Sangaree
Target entity description: Sangaree is a 1953 Technicolor period drama film, notable as one of the early 3D movies, in which Patricia Medina stars in a story of political intrigue and romance in post-Revolutionary War Savannah.
  • A. Shera
    Shera is the anthropomorphic tiger mascot created to represent and promote the 2010 Commonwealth Games held in Delhi, India.
  • B. Teniade Saraki
    Teniade Saraki is a member of the prominent Saraki family of Nigerian politicians and public figures.
  • C. Tsaangi
    Tsaangi is a Bantu language of Central Africa closely related to Njebi and spoken by communities in Gabon.
  • D. Mulachara
    Mulachara is an important early Digambara Jain scripture that outlines fundamental ethical conduct and monastic discipline for Jain ascetics.
  • E. Shugni
    Shugni is an Eastern Iranian language spoken primarily in the Badakhshan region of Tajikistan and Afghanistan by the Shughni people.
  • 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_69d6ada4cd388190ae3bbf83ff87057a completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94dfa98348190b9ac164ecdada6fe completed April 10, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64bb131608190b34a07a7026b160e completed May 2, 2026, 7:08 p.m.
NEDg Description generation batch_69f64d15a97c81909046190f0d0fd986 completed May 2, 2026, 7:14 p.m.
NED2 Entity disambiguation (via description) batch_69f64e6d311c8190b851b89e394165d0 completed May 2, 2026, 7:20 p.m.
Created at: April 8, 2026, 9:57 p.m.