Triple
T19257273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wired |
E481547
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | Play with Me |
E1128541
|
NE FINISHED |
How this triple was built (2 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: [Wired, hasTrack, Play with Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Play with Me Context triple: [Wired, hasTrack, Play with Me]
-
A.
Play With Us
"Play With Us" is a track from Lil Durk’s mixtape "Signed to the Streets 3," showcasing his melodic drill style and street-focused lyrics.
-
B.
“Play with Me”
chosen
“Play with Me” is a pop song by singer-songwriter Chloe Lattanzi, known as one of her prominent musical releases.
-
C.
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.
-
D.
Childs Play
Child's Play is a horror film franchise centered on the killer doll Chucky, known for blending slasher violence with dark humor.
-
E.
Playing with the Grown-Ups
Playing with the Grown-Ups is a semi-autobiographical coming-of-age novel by Sophie Dahl that follows a young girl navigating an eccentric, bohemian upbringing and the complexities of family and identity.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8e8cd9d1081908a181d02b88b59b8 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fb862f848190977987e0327ce41d |
completed | April 20, 2026, 10:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0705e94604819091157c7b7df406f6 |
completed | May 15, 2026, 11:39 a.m. |
Created at: April 10, 2026, 1:28 p.m.