Triple

T17260750
Position Surface form Disambiguated ID Type / Status
Subject Amphetamine Reptile Records E419001 entity
Predicate hasArtist P5936 FINISHED
Object Tar
Tar is an American noise rock band known for its heavy, guitar-driven sound and association with the underground rock scene of the late 1980s and early 1990s.
E1259386 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: Tar | Statement: [Amphetamine Reptile Records, hasArtist, Tar]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tar
Context triple: [Amphetamine Reptile Records, hasArtist, Tar]
  • A. Tar
    Tar is a diminutive form of the given name Tara, often used as a casual or affectionate nickname.
  • B. Tur
    Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
  • C. Ta
    Ta is one of the small coral islands that make up the remote Mortlock Islands in the Pacific Ocean.
  • D. Ter
    The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
  • E. Tam
    Tam is a key crew member and engineer aboard the space station in the science fiction horror film "The Cloverfield Paradox."
  • 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: Tar
Triple: [Amphetamine Reptile Records, hasArtist, Tar]
Generated description
Tar is an American noise rock band known for its heavy, guitar-driven sound and association with the underground rock scene of the late 1980s and early 1990s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tar
Target entity description: Tar is an American noise rock band known for its heavy, guitar-driven sound and association with the underground rock scene of the late 1980s and early 1990s.
  • A. Tar
    Tar is a diminutive form of the given name Tara, often used as a casual or affectionate nickname.
  • B. Tur
    Tur is a foundational 14th-century Jewish legal code by Rabbi Jacob ben Asher that systematically organized halakhic rulings and served as a primary basis for later works like the Shulchan Aruch.
  • C. Ta
    Ta is one of the small coral islands that make up the remote Mortlock Islands in the Pacific Ocean.
  • D. Ter
    The Ter is a river in northeastern Catalonia, Spain, that flows through cities such as Girona before emptying into the Mediterranean Sea.
  • E. Tam
    Tam is a key crew member and engineer aboard the space station in the science fiction horror film "The Cloverfield Paradox."
  • 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_69d886d9ab108190b70edd8d17aa1204 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42e70b00c8190b0380be08afae18d completed April 19, 2026, 1:22 a.m.
NED1 Entity disambiguation (via context triple) batch_6a017101d5dc8190ac6507344897b0f3 completed May 11, 2026, 6:02 a.m.
NEDg Description generation batch_6a0174d0014881908b99546055f9a781 completed May 11, 2026, 6:18 a.m.
NED2 Entity disambiguation (via description) batch_6a01758edf5c8190be0cfb3f7ba88796 completed May 11, 2026, 6:22 a.m.
Created at: April 10, 2026, 5:39 a.m.