Triple
T12838522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shelly Peiken |
E306982
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
"Who You Are"
"Who You Are" is a song written by acclaimed American songwriter Shelly Peiken, known for her work on numerous pop hits.
|
E1004136
|
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: "Who You Are" | Statement: [Shelly Peiken, notableWork, "Who You Are"]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: "Who You Are" Context triple: [Shelly Peiken, notableWork, "Who You Are"]
-
A.
Who You Are
"Who You Are" is a pop ballad best known as a hit single by Jessie J, co-written and produced by songwriter Toby Gad.
-
B.
You Are You
"You Are You" is a song from the 1965 Broadway musical Flora the Red Menace, which marked Liza Minnelli’s Tony-winning debut.
-
C.
Who Are You
"Who Are You" is a 1978 rock song by The Who, widely recognized for its use as the theme music for the television series CSI: Crime Scene Investigation.
-
D.
There You Are
"There You Are" is a prominent musical number from the stage adaptation of Charles Dickens' unfinished novel "The Mystery of Edwin Drood."
-
E.
What You Are
"What You Are" is a song by American rock band Audioslave, known for its heavy guitar riffs and Chris Cornell's powerful vocals, from their 2002 self-titled debut album.
- 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: "Who You Are" Triple: [Shelly Peiken, notableWork, "Who You Are"]
Generated description
"Who You Are" is a song written by acclaimed American songwriter Shelly Peiken, known for her work on numerous pop hits.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: "Who You Are" Target entity description: "Who You Are" is a song written by acclaimed American songwriter Shelly Peiken, known for her work on numerous pop hits.
-
A.
Who You Are
"Who You Are" is a pop ballad best known as a hit single by Jessie J, co-written and produced by songwriter Toby Gad.
-
B.
You Are You
"You Are You" is a song from the 1965 Broadway musical Flora the Red Menace, which marked Liza Minnelli’s Tony-winning debut.
-
C.
Who Are You
"Who Are You" is a 1978 rock song by The Who, widely recognized for its use as the theme music for the television series CSI: Crime Scene Investigation.
-
D.
There You Are
"There You Are" is a prominent musical number from the stage adaptation of Charles Dickens' unfinished novel "The Mystery of Edwin Drood."
-
E.
What You Are
"What You Are" is a song by American rock band Audioslave, known for its heavy guitar riffs and Chris Cornell's powerful vocals, from their 2002 self-titled debut album.
- 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_69d7bdf52b94819096d6f0ba4ab50a98 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff11b4481909fb2f92c46186853 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f68edd30e881909062e8f91f614990 |
completed | May 2, 2026, 11:55 p.m. |
| NEDg | Description generation | batch_69f68f8d2ca08190a385635fb6130a9f |
completed | May 2, 2026, 11:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f69033a66481908bf4ae23fced5983 |
completed | May 3, 2026, midnight |
Created at: April 9, 2026, 5:35 p.m.