Triple
T5078260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Victor Herbert |
E114450
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Only Girl
The Only Girl is a 1914 Broadway musical comedy with music by Victor Herbert and lyrics by Henry Blossom.
|
E491733
|
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: The Only Girl | Statement: [Victor Herbert, notableWork, The Only Girl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Only Girl Context triple: [Victor Herbert, notableWork, The Only Girl]
-
A.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
B.
The Girl
The Girl is a biographical drama film in which Sienna Miller portrays actress Tippi Hedren and explores Alfred Hitchcock’s obsessive relationship with his leading lady during the making of The Birds and Marnie.
-
C.
Oh Girl
"Oh Girl" is a soulful R&B song best known as a 1972 hit single by the American vocal group The Chi-Lites.
-
D.
Oh Girl
"Oh Girl" is a song co-written by American songwriter Shannon Rubicam, best known as half of the pop duo Boy Meets Girl.
-
E.
My Girls
"My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
- 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: The Only Girl Triple: [Victor Herbert, notableWork, The Only Girl]
Generated description
The Only Girl is a 1914 Broadway musical comedy with music by Victor Herbert and lyrics by Henry Blossom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Only Girl Target entity description: The Only Girl is a 1914 Broadway musical comedy with music by Victor Herbert and lyrics by Henry Blossom.
-
A.
Your Girl
"Your Girl" is a song by Mariah Carey from her 2005 album *The Emancipation of Mimi*.
-
B.
The Girl
The Girl is a biographical drama film in which Sienna Miller portrays actress Tippi Hedren and explores Alfred Hitchcock’s obsessive relationship with his leading lady during the making of The Birds and Marnie.
-
C.
Oh Girl
"Oh Girl" is a soulful R&B song best known as a 1972 hit single by the American vocal group The Chi-Lites.
-
D.
Oh Girl
"Oh Girl" is a song co-written by American songwriter Shannon Rubicam, best known as half of the pop duo Boy Meets Girl.
-
E.
My Girls
"My Girls" is a song by Christina Aguilera from her 2010 electro-pop album *Bionic*, blending dance-pop production with themes of female camaraderie and empowerment.
- 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_69bd443dbf908190a9401e9c2dc7bd7d |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd74f632788190ac4fd047e1a20485 |
completed | March 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69beb12bd7288190b66ac606aebcabca |
completed | March 21, 2026, 2:54 p.m. |
| NEDg | Description generation | batch_69beb19325fc8190b768b8bd27eb0d7c |
completed | March 21, 2026, 2:56 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69beb23f789c8190811ee9e43327196c |
completed | March 21, 2026, 2:59 p.m. |
Created at: March 20, 2026, 1:39 p.m.