Triple
T14962995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Covered |
E373112
|
entity |
| Predicate | includesCoverOf |
P13946
|
FINISHED |
| Object | “I Will Be There” |
E764409
|
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: “I Will Be There” | Statement: [Covered, includesCoverOf, “I Will Be There”]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: “I Will Be There” Context triple: [Covered, includesCoverOf, “I Will Be There”]
-
A.
I Will Be There
chosen
"I Will Be There" is a pop ballad by Britney Spears from her debut album ...Baby One More Time.
-
B.
I’ll Be There
"I’ll Be There" is a soulful track performed by Cissy Houston, featured on her self-titled album.
-
C.
I'll Be There
"I'll Be There" is a soulful 1970 ballad by The Jackson 5 that became one of their signature hits and a defining Motown classic.
-
D.
I'll Be There
"I'll Be There" is a novel by American author and screenwriter Iris Rainer Dart, best known for writing the bestseller "Beaches."
-
E.
Say You'll Be There
"Say You'll Be There" is a 1996 pop song by the Spice Girls, known for its catchy melody, girl-power lyrics, and iconic desert-themed music video.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6d0487c8190b7754af8c5014b37 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bdeec408190893d1db9254da24e |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:40 a.m.