Triple
T13673655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lea Michele |
E327815
|
entity |
| Predicate | hasSocialMediaAccount |
P2943
|
FINISHED |
| Object | msleamichele |
E327815
|
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: msleamichele | Statement: [Lea Michele, hasSocialMediaAccount, msleamichele]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: msleamichele Context triple: [Lea Michele, hasSocialMediaAccount, msleamichele]
-
A.
msleamichele
chosen
msleamichele is the Twitter handle of American actress and singer Lea Michele, best known for her starring role on the television series "Glee."
-
B.
leamichele
leamichele is the Instagram handle of Lea Michele, an American actress and singer best known for her role as Rachel Berry on the television series "Glee."
-
C.
Michele
Michele is a given name used as a variant of Michael in various languages and cultures.
-
D.
Grammichele
Grammichele is a Sicilian town renowned for its distinctive hexagonal street plan, located in southern Italy.
-
E.
Marchiano
Marchiano is the married surname of Linda Lovelace, the famous American pornographic film actress known for her role in "Deep Throat."
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b145fa081908521c103201f3afe |
completed | May 3, 2026, 5:51 p.m. |
Created at: April 9, 2026, 9:53 p.m.