Triple
T3554472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christina |
E75185
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object | Christina Applegate |
E223080
|
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: Christina Applegate | Statement: [Christina, hasNotableBearer, Christina Applegate]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Christina Applegate Context triple: [Christina, hasNotableBearer, Christina Applegate]
-
A.
Christina Applegate
chosen
Christina Applegate is an American actress and comedian known for her roles in the sitcom "Married... with Children" and numerous film and television comedies.
-
B.
Lindsay Applegate
Lindsay Applegate was a 19th-century American pioneer and trailblazer known for helping establish emigrant routes to the Pacific Northwest.
-
C.
Tiffani Thiessen
Tiffani Thiessen is an American actress best known for her roles on the television series "Saved by the Bell" and "Beverly Hills, 90210."
-
D.
Anna Faris
Anna Faris is an American actress and comedian best known for her lead role in the Scary Movie film series and her work in both film and television comedy.
-
E.
Tyra Ferrell
Tyra Ferrell is an American actress known for her roles in films such as "Boyz n the Hood," "White Men Can't Jump," and "Poetic Justice," as well as various television series.
- 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_69ad85d33c6c819081d5ac1df13b5680 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc05549d88190acdebdd542ea1a67 |
completed | March 8, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb95bcc88190abf1ea2efc30faeb |
completed | March 13, 2026, 7:24 a.m. |
Created at: March 8, 2026, 3:20 p.m.