Triple
T5752725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greenberg |
E126889
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Merritt Wever |
E187121
|
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: Merritt Wever | Statement: [Greenberg, hasCastMember, Merritt Wever]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Merritt Wever Context triple: [Greenberg, hasCastMember, Merritt Wever]
-
A.
Merritt Wever
chosen
Merritt Wever is an American actress known for her acclaimed roles in television series such as "Nurse Jackie," "Godless," and "Unbelievable," for which she has received multiple Emmy Awards.
-
B.
Betty Gilpin
Betty Gilpin is an American actress best known for her Emmy-nominated role in the Netflix series "GLOW" and performances in films such as "The Hunt" and "The Tomorrow War."
-
C.
Lily Rabe
Lily Rabe is an American actress known for her versatile performances in film, television, and theater, particularly for her recurring roles in the anthology series "American Horror Story."
-
D.
Melissa George
Melissa George is an Australian actress known for her roles in both film and television, including prominent performances in horror and thriller genres.
-
E.
Eliza Scanlen
Eliza Scanlen is an Australian actress known for her roles in film and television, including prominent performances in projects like "Sharp Objects" and "Little Women."
- 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_69c00832aedc81909899801b141fa3b4 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0288b580c81909e1289982b106695 |
completed | March 22, 2026, 5:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c107d46ebc81908ec415782611ebef |
completed | March 23, 2026, 9:28 a.m. |
Created at: March 22, 2026, 3:48 p.m.