Triple

T5144159
Position Surface form Disambiguated ID Type / Status
Subject Too Tough to Die E116030 entity
Predicate hasPart P35 FINISHED
Object No Go
"No Go" is a track from the Ramones' 1984 punk rock album "Too Tough to Die."
 E497089 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: No Go | Statement: [Too Tough to Die, hasPart, No Go]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: No Go
Context triple: [Too Tough to Die, hasPart, No Go]
  • A. No Thanks
    "No Thanks" is a 1935 poetry collection by E. E. Cummings, known for its experimental style and for being self-published after rejection by numerous publishers.
  • B. No
    No is the chemical symbol for nobelium, a synthetic radioactive element in the actinide series of the periodic table.
  • C. NO-DO
    NO-DO was the official state-controlled newsreel service of Francoist Spain, used as a key propaganda tool in cinemas from the 1940s to the 1970s.
  • D. .no
    .no is the country code top-level domain (ccTLD) assigned to Norway for use in its internet addresses.
  • E. Not I
    "Not I" is a short, intense monologue play by Samuel Beckett, renowned for its fragmented language and staging that focuses almost exclusively on a disembodied mouth delivering a rapid torrent of speech.
  • 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: No Go
Triple: [Too Tough to Die, hasPart, No Go]
Generated description
"No Go" is a track from the Ramones' 1984 punk rock album "Too Tough to Die."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: No Go
Target entity description: "No Go" is a track from the Ramones' 1984 punk rock album "Too Tough to Die."
  • A. No Thanks
    "No Thanks" is a 1935 poetry collection by E. E. Cummings, known for its experimental style and for being self-published after rejection by numerous publishers.
  • B. No
    No is the chemical symbol for nobelium, a synthetic radioactive element in the actinide series of the periodic table.
  • C. NO-DO
    NO-DO was the official state-controlled newsreel service of Francoist Spain, used as a key propaganda tool in cinemas from the 1940s to the 1970s.
  • D. .no
    .no is the country code top-level domain (ccTLD) assigned to Norway for use in its internet addresses.
  • E. Not I
    "Not I" is a short, intense monologue play by Samuel Beckett, renowned for its fragmented language and staging that focuses almost exclusively on a disembodied mouth delivering a rapid torrent of speech.
  • 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_69bd4446c0e08190a7c29dc74976bf03 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd78aaeb1881909e1b416ea37a7b6d completed March 20, 2026, 4:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69becff0df5881909d247dd3db49f6c2 completed March 21, 2026, 5:05 p.m.
NEDg Description generation batch_69bed05af0808190968e38f37b3bfad6 completed March 21, 2026, 5:07 p.m.
NED2 Entity disambiguation (via description) batch_69bed103a1088190abca6e7d1fbd9c2b completed March 21, 2026, 5:10 p.m.
Created at: March 20, 2026, 1:43 p.m.