Triple
T8863715
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ann Hines |
E210956
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Common |
E2160
|
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: Common | Statement: [Ann Hines, relative, Common]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Common Context triple: [Ann Hines, relative, Common]
-
A.
Common
chosen
Common is an American rapper, actor, and activist known for his socially conscious lyrics and influential role in conscious hip-hop.
-
B.
Comum
Comum, known today as Como, is an ancient town in northern Italy near Lake Como that was an important Roman settlement and later a notable medieval and Renaissance center.
-
C.
Common Voice
Common Voice is an open-source, crowdsourced dataset of voice recordings created to help train and improve speech recognition technologies for diverse languages and accents.
-
D.
Lower Common
Lower Common is a small locality within the village of Eversley in Hampshire, England, characterized by its rural residential setting.
-
E.
Comunes
Comunes is a Chilean left-wing political party known for its role in progressive and social justice movements and its participation in the Apruebo Dignidad coalition.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc610416b48190a26f0c457089ffca |
completed | April 1, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0caccd88190b6464f53d0239e47 |
completed | April 3, 2026, 11:13 a.m. |
Created at: March 30, 2026, 6:50 p.m.