Triple
T12105374
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Working |
E288287
|
entity |
| Predicate | hasSong |
P20452
|
FINISHED |
| Object |
If I Could’ve Been
"If I Could’ve Been" is a song by the band Working.
|
E966757
|
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: If I Could’ve Been | Statement: [Working, hasSong, If I Could’ve Been]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: If I Could’ve Been Context triple: [Working, hasSong, If I Could’ve Been]
-
A.
Could've Been
"Could've Been" is an R&B song produced by Happy Perez, best known in its hit duet form by H.E.R. featuring Bryson Tiller.
-
B.
You Could Have Been with Me
"You Could Have Been with Me" is a 1981 pop album by Scottish singer Sheena Easton that helped solidify her early international success.
-
C.
Would’ve Been the One
"Would’ve Been the One" is a song by American singer Solange from her critically acclaimed 2008 album "Sol-Angel and the Hadley St. Dreams."
-
D.
You Could Be Mine
"You Could Be Mine" is a hard rock song by Guns N' Roses, best known for its prominent use in the film Terminator 2: Judgment Day.
-
E.
If I Could Tell Her
"If I Could Tell Her" is a heartfelt ballad from the Broadway musical *Dear Evan Hansen* in which Evan expresses his unspoken feelings for a classmate through a tender, indirect confession.
- 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: If I Could’ve Been Triple: [Working, hasSong, If I Could’ve Been]
Generated description
"If I Could’ve Been" is a song by the band Working.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: If I Could’ve Been Target entity description: "If I Could’ve Been" is a song by the band Working.
-
A.
Could've Been
"Could've Been" is an R&B song produced by Happy Perez, best known in its hit duet form by H.E.R. featuring Bryson Tiller.
-
B.
You Could Have Been with Me
"You Could Have Been with Me" is a 1981 pop album by Scottish singer Sheena Easton that helped solidify her early international success.
-
C.
Would’ve Been the One
"Would’ve Been the One" is a song by American singer Solange from her critically acclaimed 2008 album "Sol-Angel and the Hadley St. Dreams."
-
D.
You Could Be Mine
"You Could Be Mine" is a hard rock song by Guns N' Roses, best known for its prominent use in the film Terminator 2: Judgment Day.
-
E.
If I Could Tell Her
"If I Could Tell Her" is a heartfelt ballad from the Broadway musical *Dear Evan Hansen* in which Evan expresses his unspoken feelings for a classmate through a tender, indirect confession.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d91561eaec819096ba00682d81f41a |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f6795bf88190891acf918a432bef |
completed | May 2, 2026, 1:04 p.m. |
| NEDg | Description generation | batch_69f60263bc6c8190b867b4af20305e57 |
completed | May 2, 2026, 1:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6033935c08190980bd69395c250e4 |
completed | May 2, 2026, 1:59 p.m. |
Created at: April 8, 2026, 9:48 p.m.