Triple

T20622247
Position Surface form Disambiguated ID Type / Status
Subject Glenn Danzig E506727 entity
Predicate notableSong P4 FINISHED
Object Mother
"Mother" is a dark, brooding heavy metal song by Glenn Danzig that became his signature hit and a staple of late-1980s and early-1990s rock radio.
E1441092 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: Mother | Statement: [Glenn Danzig, notableSong, Mother]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mother
Context triple: [Glenn Danzig, notableSong, Mother]
  • A. Mother
    Mother is a 1926 Soviet silent drama film directed by Vsevolod Pudovkin, renowned for its pioneering use of montage and its powerful depiction of revolutionary struggle.
  • B. Mother
    Mother is the ship’s central computer aboard the Nostromo in the science fiction horror film "Alien."
  • C. Mother
    Mother is a quirky, influential role-playing game series by Nintendo, known for its modern-day setting, offbeat humor, and emotional storytelling, of which EarthBound is the second installment.
  • D. Mother
    "Mother" is a raw, emotionally intense song by John Lennon from his Plastic Ono Band period, confronting themes of childhood trauma and abandonment.
  • E. Mother
    "Mother" is a 2009 South Korean psychological thriller film by director Bong Joon-ho, centered on a mother's desperate quest to prove her son's innocence in a murder case.
  • 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: Mother
Triple: [Glenn Danzig, notableSong, Mother]
Generated description
"Mother" is a dark, brooding heavy metal song by Glenn Danzig that became his signature hit and a staple of late-1980s and early-1990s rock radio.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mother
Target entity description: "Mother" is a dark, brooding heavy metal song by Glenn Danzig that became his signature hit and a staple of late-1980s and early-1990s rock radio.
  • A. Mother
    "Mother" is a song by Tori Amos from her debut solo album *Little Earthquakes*.
  • B. Mother
    "Mother" is a raw, emotionally intense song by John Lennon from his Plastic Ono Band period, confronting themes of childhood trauma and abandonment.
  • C. Mother
    "Mother" is a Pink Floyd song from their rock opera album *The Wall*, exploring themes of overprotective parenting and emotional isolation.
  • D. Mother
    "Mother" is a song by the American indie rock band Low from their 2013 album *The Invisible Way*, noted for its sparse instrumentation and introspective mood.
  • E. Mother
    "Mother" is a pop song by American singer-songwriter Charlie Puth, known for its upbeat production and emotionally conflicted lyrics about a troubled relationship.
  • 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_69e0b4bc90988190ac360aaf645efc1d completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6abe25c208190af057bcd1aa6219d completed April 20, 2026, 10:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08bb1987e08190a9ecf4fe131c1cb4 completed May 16, 2026, 6:44 p.m.
NEDg Description generation batch_6a08bc062b808190a86683057a0f0baf completed May 16, 2026, 6:48 p.m.
NED2 Entity disambiguation (via description) batch_6a08bc7b24448190a498e09c1d9e4a5d completed May 16, 2026, 6:50 p.m.
Created at: April 16, 2026, 11:42 a.m.