Triple
T7419386
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Under Construction |
E171205
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Can You Hear Me |
E306757
|
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: Can You Hear Me | Statement: [Under Construction, hasPart, Can You Hear Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Can You Hear Me Context triple: [Under Construction, hasPart, Can You Hear Me]
-
A.
Can You Hear Me
chosen
"Can You Hear Me" is a pop song by Enrique Iglesias that served as the official anthem of the UEFA Euro 2008 football tournament.
-
B.
I Think I Can Hear You
"I Think I Can Hear You" is a song featured on the album "Rhymes & Reasons."
-
C.
Hear Me Clearly
"Hear Me Clearly" is a hard-hitting rap track by Pusha T known for its gritty lyricism and minimalist, menacing production.
-
D.
Have You Heard
"Have You Heard" is a blues track by John Mayall & the Bluesbreakers, recognized for its expressive guitar work and classic British blues sound.
-
E.
Listen to Me
"Listen to Me" is a crime thriller novel by Tess Gerritsen featuring her popular Rizzoli & Isles characters in a tense investigation that intertwines neighborhood secrets with a complex murder case.
- 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_69c68a625d048190af70eb8b63bec5a0 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f2e93ffc8190beb5a1d3eb6c5d23 |
completed | March 27, 2026, 9:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c81ef30ee88190a484f4b735913676 |
completed | March 28, 2026, 6:33 p.m. |
Created at: March 27, 2026, 3:11 p.m.