Triple

T8940761
Position Surface form Disambiguated ID Type / Status
Subject Paruthiveeran E212893 entity
Predicate director P255 FINISHED
Object Ameer
Ameer is an Indian film director best known for his critically acclaimed work in Tamil cinema.
E768517 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: Ameer | Statement: [Paruthiveeran, director, Ameer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ameer
Context triple: [Paruthiveeran, director, Ameer]
  • A. Entissar Amer
    Entissar Amer is the First Lady of Egypt and the wife of President Abdel Fattah el-Sisi.
  • B. Nasr
    Nasr is an ancient Arabian deity, often linked to a vulture or eagle, venerated in parts of pre-Islamic South Arabia.
  • C. Amri
    Amri is an archaeological site in present-day Pakistan associated with the early phases of the Indus Valley Civilization.
  • D. Maharraqa
    Maharraqa was an ancient Nubian settlement in Lower Nubia, near the Nile in what is now southern Egypt or northern Sudan, notable for its archaeological remains including a Roman-period temple.
  • E. Amr
    Amr is a common Arabic male given name, often associated with historical and contemporary figures across the Arab world.
  • 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: Ameer
Triple: [Paruthiveeran, director, Ameer]
Generated description
Ameer is an Indian film director best known for his critically acclaimed work in Tamil cinema.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ameer
Target entity description: Ameer is an Indian film director best known for his critically acclaimed work in Tamil cinema.
  • A. Entissar Amer
    Entissar Amer is the First Lady of Egypt and the wife of President Abdel Fattah el-Sisi.
  • B. Nasr
    Nasr is an ancient Arabian deity, often linked to a vulture or eagle, venerated in parts of pre-Islamic South Arabia.
  • C. Amri
    Amri is an archaeological site in present-day Pakistan associated with the early phases of the Indus Valley Civilization.
  • D. Maharraqa
    Maharraqa was an ancient Nubian settlement in Lower Nubia, near the Nile in what is now southern Egypt or northern Sudan, notable for its archaeological remains including a Roman-period temple.
  • E. Amr
    Amr is a common Arabic male given name, often associated with historical and contemporary figures across the Arab world.
  • 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_69ca839694c88190b324ffeb43d23b08 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66b8b37c8190bce6e049de8cf732 completed April 1, 2026, 12:28 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc1efdea881908b2c264d1c39c6ec completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc2d295c48190952486e6f44cd74f completed April 3, 2026, 1:38 p.m.
NED2 Entity disambiguation (via description) batch_69cfc722921881908978147e4cc6875c completed April 3, 2026, 1:56 p.m.
Created at: March 30, 2026, 6:58 p.m.