Triple

T14950728
Position Surface form Disambiguated ID Type / Status
Subject Chloe Lattanzi E372784 entity
Predicate notableWork P4 FINISHED
Object “Wings and a Gun”
“Wings and a Gun” is a song by singer-songwriter Chloe Lattanzi, known as part of her early music releases.
 E1128540 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: “Wings and a Gun” | Statement: [Chloe Lattanzi, notableWork, “Wings and a Gun”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “Wings and a Gun”
Context triple: [Chloe Lattanzi, notableWork, “Wings and a Gun”]
  • A. Silver Wings
    "Silver Wings" is a classic country song by Merle Haggard, known for its melancholic melody and themes of love and loss.
  • B. On the Wing
    "On the Wing" is a dreamy, atmospheric electronic track by Owl City known for its whimsical lyrics and uplifting, synth-driven sound.
  • C. Golden Wings
    "Golden Wings" is a poem by William Morris included in his 1858 collection *The Defence of Guenevere, and Other Poems*, reflecting his early Pre-Raphaelite-inspired medievalism and romantic imagery.
  • D. Wings in the Dark
    Wings in the Dark is a 1935 aviation drama film, written by Frank Wead, that explores early flight technology and the personal struggles of pioneering pilots.
  • E. Blow Away
    "Blow Away" is a song featured on the Grateful Dead's album "Built to Last."
  • 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: “Wings and a Gun”
Triple: [Chloe Lattanzi, notableWork, “Wings and a Gun”]
Generated description
“Wings and a Gun” is a song by singer-songwriter Chloe Lattanzi, known as part of her early music releases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “Wings and a Gun”
Target entity description: “Wings and a Gun” is a song by singer-songwriter Chloe Lattanzi, known as part of her early music releases.
  • A. Silver Wings
    "Silver Wings" is a classic country song by Merle Haggard, known for its melancholic melody and themes of love and loss.
  • B. On the Wing
    "On the Wing" is a dreamy, atmospheric electronic track by Owl City known for its whimsical lyrics and uplifting, synth-driven sound.
  • C. Golden Wings
    "Golden Wings" is a poem by William Morris included in his 1858 collection *The Defence of Guenevere, and Other Poems*, reflecting his early Pre-Raphaelite-inspired medievalism and romantic imagery.
  • D. Wings in the Dark
    Wings in the Dark is a 1935 aviation drama film, written by Frank Wead, that explores early flight technology and the personal struggles of pioneering pilots.
  • E. Blow Away
    "Blow Away" is a song featured on the Grateful Dead's album "Built to Last."
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded68fae3c81909873b113bfcaca05 completed April 15, 2026, 12:06 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe7e986dfc8190a5cf363dabe6bdef completed May 9, 2026, 12:23 a.m.
NEDg Description generation batch_69fe82845b788190b1d7af425aa354d4 completed May 9, 2026, 12:40 a.m.
NED2 Entity disambiguation (via description) batch_69fe832a4228819085ebb93e9fed00be completed May 9, 2026, 12:43 a.m.
Created at: April 10, 2026, 2:39 a.m.