Triple
T9678596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Fourmost |
E234223
|
entity |
| Predicate | performedSong |
P11145
|
FINISHED |
| Object | How Can I Tell Her |
E813879
|
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: How Can I Tell Her | Statement: [The Fourmost, performedSong, How Can I Tell Her]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: How Can I Tell Her Context triple: [The Fourmost, performedSong, How Can I Tell Her]
-
A.
How Can I Tell Her
chosen
"How Can I Tell Her" is a pop song recorded by the British Merseybeat group The Fourmost during the 1960s beat boom.
-
B.
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.
-
C.
Tell Her You Love Her
"Tell Her You Love Her" is a work of fiction by British writer Bridget O’Connor, known for her sharp, darkly comic storytelling.
-
D.
I Can Tell
"I Can Tell" is a song featured on the album "Rodeo."
-
E.
Do You Love Her
"Do You Love Her" is a song featured on the album "Romance Dance" by Kim Carnes.
- 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_69ca84c99e34819092e5563a7106cfca |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9c9b01708190aaf51cf4d36015a0 |
completed | April 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d190fd1ad48190980e7bc3245046dc |
completed | April 4, 2026, 10:30 p.m. |
Created at: March 30, 2026, 8:16 p.m.