Triple
T7003498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Erika Christensen |
E162393
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Erika Christensen |
E162393
|
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: Erika Christensen | Statement: [Erika Christensen, name, Erika Christensen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erika Christensen Context triple: [Erika Christensen, name, Erika Christensen]
-
A.
Erika Christensen
chosen
Erika Christensen is an American actress known for her roles in films like "Traffic" and "Flightplan" and the television series "Parenthood."
-
B.
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."
-
C.
Melissa Sue Anderson
Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
-
D.
Lynn Collins
Lynn Collins is an American actress known for her roles in films such as X-Men Origins: Wolverine and John Carter, as well as various television series.
-
E.
Kate Harrington
Kate Harrington is known as the former spouse of American film director John McTiernan, who is famous for action films such as "Die Hard" and "Predator."
- 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_69c6885928148190ae31909fbb5e9849 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dc12af788190b3d06ffc46568410 |
completed | March 27, 2026, 7:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7755c7c1481908eed49c72726195e |
completed | March 28, 2026, 6:29 a.m. |
Created at: March 27, 2026, 2:33 p.m.