Triple
T18261764
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Miss Saigon |
E437373
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | I'd Give My Life for You |
E877146
|
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: I'd Give My Life for You | Statement: [Miss Saigon, notableSong, I'd Give My Life for You]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I'd Give My Life for You Context triple: [Miss Saigon, notableSong, I'd Give My Life for You]
-
A.
I'd Give My Life for You
chosen
"I'd Give My Life for You" is a powerful ballad from the musical *Miss Saigon*, best known for being performed by Filipina singer and Broadway star Lea Salonga.
-
B.
Give Me Back My Life
"Give Me Back My Life" is a song by the Christian rock band The Connection.
-
C.
You Are My Life
"You Are My Life" is a pop ballad by Michael Jackson from his 2001 album "Invincible."
-
D.
I’ll Die for You
"I’ll Die for You" is a song featured on the album "Rebirth."
-
E.
This Is My Life
"This Is My Life" is a dramatic pop song powerfully performed by Welsh singer Shirley Bassey, known for its emotive vocals and status as one of her signature anthems.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff76a1208190abbe6ab8720ed154 |
completed | April 19, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03b3f21ac0819081083bfcc7f59b4e |
completed | May 12, 2026, 11:12 p.m. |
Created at: April 10, 2026, 10:34 a.m.