Triple
T16329179
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Cage aux Folles |
E396502
|
entity |
| Predicate | notableSong |
P4
|
FINISHED |
| Object | I Am What I Am |
E1107372
|
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 Am What I Am | Statement: [La Cage aux Folles, notableSong, I Am What I Am]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Am What I Am Context triple: [La Cage aux Folles, notableSong, I Am What I Am]
-
A.
I Am What I Am
chosen
"I Am What I Am" is a popular show tune from the musical La Cage aux Folles that has become an anthem of self-acceptance and LGBTQ+ pride.
-
B.
I Am What I Am
"I Am What I Am" is a self-expressive, individuality-focused advertising slogan used by the athletic footwear and apparel company Reebok.
-
C.
I Am What I Am
"I Am What I Am" is a studio album by Welsh singer Shirley Bassey, featuring her powerful interpretations of popular standards and show tunes.
-
D.
“I Am What I Am”
“I Am What I Am” is a song featured within the musical work or album “Green Man.”
-
E.
Just What I Am
"Just What I Am" is a hip-hop song by American rapper Kid Cudi that reflects his introspective style and themes of self-discovery and personal struggle.
- 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_69d87f255b788190a400eba031dd85d8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2c4ddc5608190b24fe2e871691470 |
completed | April 17, 2026, 11:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00261134108190812da262b424a476 |
completed | May 10, 2026, 6:30 a.m. |
Created at: April 10, 2026, 5:07 a.m.