Triple

T18081214
Position Surface form Disambiguated ID Type / Status
Subject Laz Alonso E432692 entity
Predicate hasIMDbId P7954 FINISHED
Object nm1321655
Laz Alonso is an American actor known for his roles in films like "Avatar" and "Fast & Furious" and the TV series "The Boys."
 E1305756 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: nm1321655 | Statement: [Laz Alonso, hasIMDbId, nm1321655]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: nm1321655
Context triple: [Laz Alonso, hasIMDbId, nm1321655]
  • A. nm1312575
    Olivia Wilde is an American actress and filmmaker known for her roles in the TV series "House" and films like "Tron: Legacy" and "Booksmart," which she also directed.
  • B. nm4456120
    Ed Oxenbould is an Australian actor known for his roles in films such as "Alexander and the Terrible, Horrible, No Good, Very Bad Day" and "The Visit."
  • C. nm2765384
    Alba Flores is a Spanish actress best known internationally for her role as Nairobi in the hit television series "Money Heist" ("La Casa de Papel").
  • D. nm4141252
    Celine Buckens is a Belgian-born British actress known for roles in productions such as "War Horse," "Free Rein," and "Showtrial."
  • E. nm
    nm is a command-line utility that lists and analyzes the symbols from object files and binaries, commonly used for debugging and reverse engineering in Unix-like systems.
  • 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: nm1321655
Triple: [Laz Alonso, hasIMDbId, nm1321655]
Generated description
Laz Alonso is an American actor known for his roles in films like "Avatar" and "Fast & Furious" and the TV series "The Boys."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: nm1321655
Target entity description: Laz Alonso is an American actor known for his roles in films like "Avatar" and "Fast & Furious" and the TV series "The Boys."
  • A. nm1312575
    Olivia Wilde is an American actress and filmmaker known for her roles in the TV series "House" and films like "Tron: Legacy" and "Booksmart," which she also directed.
  • B. nm4456120
    Ed Oxenbould is an Australian actor known for his roles in films such as "Alexander and the Terrible, Horrible, No Good, Very Bad Day" and "The Visit."
  • C. nm2765384
    Alba Flores is a Spanish actress best known internationally for her role as Nairobi in the hit television series "Money Heist" ("La Casa de Papel").
  • D. nm4141252
    Celine Buckens is a Belgian-born British actress known for roles in productions such as "War Horse," "Free Rein," and "Showtrial."
  • E. nm
    nm is a command-line utility that lists and analyzes the symbols from object files and binaries, commonly used for debugging and reverse engineering in Unix-like systems.
  • 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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4d9fa080081909e1a05e98185a026 completed April 19, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a035d8d4ab881909b2ebe0b933e3b97 completed May 12, 2026, 5:04 p.m.
NEDg Description generation batch_6a0360cc5d648190bd7d7d756f662046 completed May 12, 2026, 5:18 p.m.
NED2 Entity disambiguation (via description) batch_6a03616317548190a09b0df1c9d6d303 completed May 12, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:27 a.m.