Triple

T14950729
Position Surface form Disambiguated ID Type / Status
Subject Chloe Lattanzi E372784 entity
Predicate notableWork P4 FINISHED
Object “Play with Me”
“Play with Me” is a pop song by singer-songwriter Chloe Lattanzi, known as one of her prominent musical releases.
 E1128541 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: “Play with Me” | Statement: [Chloe Lattanzi, notableWork, “Play with Me”]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: “Play with Me”
Context triple: [Chloe Lattanzi, notableWork, “Play with Me”]
  • A. Come Play
    Come Play is a 2020 American horror film about a nonverbal autistic boy who is terrorized by a malevolent creature that manifests through electronic devices.
  • B. Playtime
    Playtime is a 1967 French comedy film by Jacques Tati, celebrated for its intricate visual gags, minimal dialogue, and satirical portrayal of modern urban life.
  • C. Childs Play
    Child's Play is a horror film franchise centered on the killer doll Chucky, known for blending slasher violence with dark humor.
  • D. "Sing to Me"
    "Sing to Me" is a song featuring vocals by American singer Namiko Love Browner, known for her soulful, melodic style.
  • E. "Pieces of Me"
    "Pieces of Me" is a soulful R&B song by American singer Ledisi that showcases her powerful vocals and introspective, empowering lyricism.
  • 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: “Play with Me”
Triple: [Chloe Lattanzi, notableWork, “Play with Me”]
Generated description
“Play with Me” is a pop song by singer-songwriter Chloe Lattanzi, known as one of her prominent musical releases.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: “Play with Me”
Target entity description: “Play with Me” is a pop song by singer-songwriter Chloe Lattanzi, known as one of her prominent musical releases.
  • A. Come Play
    Come Play is a 2020 American horror film about a nonverbal autistic boy who is terrorized by a malevolent creature that manifests through electronic devices.
  • B. Playtime
    Playtime is a 1967 French comedy film by Jacques Tati, celebrated for its intricate visual gags, minimal dialogue, and satirical portrayal of modern urban life.
  • C. Childs Play
    Child's Play is a horror film franchise centered on the killer doll Chucky, known for blending slasher violence with dark humor.
  • D. "Sing to Me"
    "Sing to Me" is a song featuring vocals by American singer Namiko Love Browner, known for her soulful, melodic style.
  • E. "Pieces of Me"
    "Pieces of Me" is a soulful R&B song by American singer Ledisi that showcases her powerful vocals and introspective, empowering lyricism.
  • 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.