Triple

T10880634
Position Surface form Disambiguated ID Type / Status
Subject Pom Klementieff E256909 entity
Predicate givenName P17 FINISHED
Object Pom
Pom is the first name of Pom Klementieff, a French actress best known for playing Mantis in the Marvel Cinematic Universe.
E890415 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: Pom | Statement: [Pom Klementieff, givenName, Pom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pom
Context triple: [Pom Klementieff, givenName, Pom]
  • A. Pomy
    Pomy is a small municipality in the canton of Vaud in western Switzerland.
  • B. Pim
    Pim is the commonly used short form of the Dutch given name Willem.
  • C. Pooc
    Pooc is a dialect of the Paicî language, an Austronesian language spoken in New Caledonia.
  • D. Pippy
    Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
  • E. Premo
    Premo is the nickname of DJ Premier, a highly influential American hip-hop producer and DJ known for his gritty, sample-based boom-bap sound.
  • 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: Pom
Triple: [Pom Klementieff, givenName, Pom]
Generated description
Pom is the first name of Pom Klementieff, a French actress best known for playing Mantis in the Marvel Cinematic Universe.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Pom
Target entity description: Pom is the first name of Pom Klementieff, a French actress best known for playing Mantis in the Marvel Cinematic Universe.
  • A. Pomy
    Pomy is a small municipality in the canton of Vaud in western Switzerland.
  • B. Pim
    Pim is the commonly used short form of the Dutch given name Willem.
  • C. Pooc
    Pooc is a dialect of the Paicî language, an Austronesian language spoken in New Caledonia.
  • D. Pippy
    Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
  • E. Premo
    Premo is the nickname of DJ Premier, a highly influential American hip-hop producer and DJ known for his gritty, sample-based boom-bap sound.
  • 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_69d6aa848804819081b2713ca0bedf06 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d751b031a88190b1182dfc1f520264 completed April 9, 2026, 7:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69dff7e2322c8190a55605237ae6ce95 completed April 15, 2026, 8:41 p.m.
NEDg Description generation batch_69e002709d38819099c4402d30824612 completed April 15, 2026, 9:26 p.m.
NED2 Entity disambiguation (via description) batch_69e005873ba48190b8c24c77611562fa completed April 15, 2026, 9:39 p.m.
Created at: April 8, 2026, 9:21 p.m.