Triple
T4915998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wildflowers |
E110349
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object |
Hard on Me
"Hard on Me" is a song from Tom Petty's 1994 album "Wildflowers," known for its introspective lyrics and melodic rock sound.
|
E478141
|
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: Hard on Me | Statement: [Wildflowers, hasSong, Hard on Me]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hard on Me Context triple: [Wildflowers, hasSong, Hard on Me]
-
A.
She Wants Me
She Wants Me is a 2012 independent romantic comedy film starring Josh Gad and Hilary Duff, produced by Mark Burg.
-
B.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
C.
You Got Me
"You Got Me" is a Grammy-winning neo-soul/hip-hop song by The Roots featuring Erykah Badu, widely recognized for its innovative blend of live instrumentation and introspective lyricism.
-
D.
You Got Me
"You Got Me" is a pop-rock song by American singer-songwriter Gavin DeGraw, known for its heartfelt lyrics and soulful vocal delivery.
-
E.
Call on Me
"Call on Me" is a hip hop single by American rapper Nelly, known for its smooth, melodic style and R&B-influenced production.
- 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: Hard on Me Triple: [Wildflowers, hasSong, Hard on Me]
Generated description
"Hard on Me" is a song from Tom Petty's 1994 album "Wildflowers," known for its introspective lyrics and melodic rock sound.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hard on Me Target entity description: "Hard on Me" is a song from Tom Petty's 1994 album "Wildflowers," known for its introspective lyrics and melodic rock sound.
-
A.
She Wants Me
She Wants Me is a 2012 independent romantic comedy film starring Josh Gad and Hilary Duff, produced by Mark Burg.
-
B.
Please Love Me
"Please Love Me" is a blues song popularized by B.B. King, showcasing his expressive guitar work and emotive vocal style.
-
C.
You Got Me
"You Got Me" is a Grammy-winning neo-soul/hip-hop song by The Roots featuring Erykah Badu, widely recognized for its innovative blend of live instrumentation and introspective lyricism.
-
D.
You Got Me
"You Got Me" is a pop-rock song by American singer-songwriter Gavin DeGraw, known for its heartfelt lyrics and soulful vocal delivery.
-
E.
Call on Me
"Call on Me" is a hip hop single by American rapper Nelly, known for its smooth, melodic style and R&B-influenced production.
- 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_69bd44132b94819088522d92beaadc78 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6fa404f881908b4f983983ac7076 |
completed | March 20, 2026, 4:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be6fee5f1c8190ba947811048c3db4 |
completed | March 21, 2026, 10:16 a.m. |
| NEDg | Description generation | batch_69be7084a76c819098f96a90ec574771 |
completed | March 21, 2026, 10:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69be70f90d988190b3f27a1a6facb004 |
completed | March 21, 2026, 10:20 a.m. |
Created at: March 20, 2026, 1:29 p.m.