Triple
T4459621
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dollhouse |
E98218
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Amy Acker |
E407861
|
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: Amy Acker | Statement: [Dollhouse, castMember, Amy Acker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amy Acker Context triple: [Dollhouse, castMember, Amy Acker]
-
A.
Amy Acker
chosen
Amy Acker is an American actress best known for her roles in television series such as "Angel," "Person of Interest," and "Dollhouse."
-
B.
Allison Mack
Allison Mack is an American actress best known for her role as Chloe Sullivan on the television series "Smallville."
-
C.
Gina Torres
Gina Torres is an American actress known for her roles in television series such as "Suits," "Firefly," and "Hannibal."
-
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.
Melissa McBride
Melissa McBride is an American actress best known for her acclaimed portrayal of Carol Peletier on the television series "The Walking Dead."
- 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_69b3454a7c608190944f5455c8031d73 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3567184f481908a2787e4ac9bb345 |
completed | March 13, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bb61047c88819080943c2ce62c0ffd |
completed | March 19, 2026, 2:35 a.m. |
Created at: March 12, 2026, 11:33 p.m.