Triple
T17042846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | To Whom It May Concern |
E413487
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Gone |
E1107077
|
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: Gone | Statement: [To Whom It May Concern, hasPart, Gone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gone Context triple: [To Whom It May Concern, hasPart, Gone]
-
A.
Gone
chosen
"Gone" is a song featured on the album "On and On," likely contributing to the record's overall mood and thematic continuity.
-
B.
Gone
"Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
-
C.
Gone
"Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
-
D.
Gone
"Gone" is a song featured on the album "Music" by American singer Madonna.
-
E.
Gone
"Gone" is a 2019 electro-pop collaboration between Charli XCX and Christine and the Queens known for its cathartic themes of alienation and its critically acclaimed, high-energy production.
- 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_69d886cd18288190b006abab23f811b7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d8f870c0819087e4a20083d761f1 |
completed | April 18, 2026, 7:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01233a7e44819096f71f5007b4450f |
completed | May 11, 2026, 12:30 a.m. |
Created at: April 10, 2026, 5:33 a.m.