Triple
T9471247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin Paul |
E228393
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | You Will Be Found |
E230547
|
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: You Will Be Found | Statement: [Justin Paul, notableSong, You Will Be Found]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: You Will Be Found Context triple: [Justin Paul, notableSong, You Will Be Found]
-
A.
You Will Be Found
chosen
"You Will Be Found" is an emotional, uplifting anthem from the Broadway musical *Dear Evan Hansen* that explores themes of loneliness, hope, and connection.
-
B.
I Found You
"I Found You" is a song featured on the album "Boys & Girls."
-
C.
I Found You
"I Found You" is a song that served as the original version of James Brown's classic hit "I Got You (I Feel Good)."
-
D.
Love Will Always Find You
"Love Will Always Find You" is a song featured on Donna Summer’s 1979 disco album *Bad Girls*.
-
E.
Until I Find You
"Until I Find You" is a semi-autobiographical novel by John Irving that follows an actor’s lifelong search for his absent father, exploring themes of memory, trauma, 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_69ca847162c48190b079076c9595513c |
completed | March 30, 2026, 2:10 p.m. |
| NER | Named-entity recognition | batch_69cd7fee13a88190b4532fb92ddaf401 |
completed | April 1, 2026, 8:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d139ece5bc81908956e1f7ecbb1aa4 |
completed | April 4, 2026, 4:18 p.m. |
Created at: March 30, 2026, 7:54 p.m.