Triple
T14045697
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | How Big, How Blue, How Beautiful |
E337949
|
entity |
| Predicate | hasTrack |
P3284
|
FINISHED |
| Object | What Kind of Man |
E1003000
|
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: What Kind of Man | Statement: [How Big, How Blue, How Beautiful, hasTrack, What Kind of Man]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: What Kind of Man Context triple: [How Big, How Blue, How Beautiful, hasTrack, What Kind of Man]
-
A.
What Kind of Man
chosen
"What Kind of Man" is a dramatic, guitar-driven indie rock song by Florence + The Machine, known for its intense emotional delivery and exploration of a tumultuous relationship.
-
B.
My Man
"My Man" is a classic torch song most famously performed by Barbra Streisand in the 1968 musical film *Funny Girl*.
-
C.
What’s a Man to Do
"What’s a Man to Do" is a song featured on the album "Here I Stand."
-
D.
Nothing But a Man
Nothing But a Man is a 1964 American independent drama film that portrays the struggles of a Black railroad worker and his family in the racially segregated American South.
-
E.
I’m Your Man
I’m Your Man is a 1988 studio album by Leonard Cohen that marked his shift toward a more synth-driven sound and includes some of his most acclaimed late-career songs.
- 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_69d81c664e48819088cbd8f433aeffe5 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de312df37081909f45ce3e219af5dc |
completed | April 14, 2026, 12:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcb65c1a90819097754497f07f5312 |
completed | May 7, 2026, 3:57 p.m. |
Created at: April 9, 2026, 10:20 p.m.