Triple
T4293073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anthony Hamilton |
E99640
|
entity |
| Predicate | associatedAct |
P37
|
FINISHED |
| Object | Jaheim |
E343481
|
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: Jaheim | Statement: [Anthony Hamilton, associatedAct, Jaheim]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaheim Context triple: [Anthony Hamilton, associatedAct, Jaheim]
-
A.
Jaheim
chosen
Jaheim is an American R&B singer known for his soulful vocals and early-2000s hits like "Just in Case" and "Put That Woman First."
-
B.
Tyree
Tyree is a surname most famously associated with former NFL wide receiver David Tyree, known for his iconic "Helmet Catch" in Super Bowl XLII.
-
C.
Kashmore
Kashmore is a town in Pakistan’s Sindh province that serves as a regional hub near the Guddu Barrage on the Indus River.
-
D.
Jami
Jami was a prominent 15th-century Persian poet, scholar, and Sufi mystic renowned for his influential literary works and spiritual writings in the Islamic world.
-
E.
Rhume
The Rhume is a river in Lower Saxony, Germany, known as a tributary of the Leine and for its karstic spring source near the Harz mountains.
- 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_69b3455175088190aa79c6e03b86647e |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b35082228081908504e3fd7c4ca1e8 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c739df2c8190af6f8d9bf36afca8 |
completed | March 14, 2026, 8:38 p.m. |
Created at: March 12, 2026, 11:08 p.m.