Triple
T9790087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dope |
E237583
|
entity |
| Predicate | productionCompany |
P490
|
FINISHED |
| Object | I Am Other |
E75406
|
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 Other | Statement: [Dope, productionCompany, I Am Other]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: I Am Other Context triple: [Dope, productionCompany, I Am Other]
-
A.
I Am Other
chosen
I Am Other is a creative collective and record label founded by Pharrell Williams that encompasses music, fashion, and multimedia projects.
-
B.
The Other Me
"The Other Me" is a melodic pop song by Paul McCartney from his 1983 album "Pipes of Peace."
-
C.
As I Am
"As I Am" is a Christian-influenced studio album by Broadway and television star Kristin Chenoweth, showcasing her vocal versatility through inspirational and contemporary songs.
-
D.
As I Am
"As I Am" is a heavy, progressive metal track by Dream Theater known for its powerful riffs, complex musicianship, and introspective lyrics.
-
E.
As I Am
"As I Am" is a Grammy-winning R&B and soul studio album by American singer-songwriter Alicia Keys, noted for hits like "No One" and its blend of classical piano with contemporary urban sounds.
- 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_69ca84dc04488190b9c91193976c0960 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cda215b3108190a897552e1dc91cc4 |
completed | April 1, 2026, 10:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1c42c9fe081908145911cad6723c2 |
completed | April 5, 2026, 2:08 a.m. |
Created at: March 30, 2026, 8:28 p.m.