Triple
T15330169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Like Father |
E366510
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Blaire Brooks |
E1157933
|
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: Blaire Brooks | Statement: [Like Father, hasCastMember, Blaire Brooks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Blaire Brooks Context triple: [Like Father, hasCastMember, Blaire Brooks]
-
A.
Blaire Brooks
chosen
Blaire Brooks is an actress known for her role in the film "Like Father."
-
B.
Shannon Bolin
Shannon Bolin was an American actress and singer best known for her role as Meg Boyd in the original Broadway production and film adaptation of the musical "Damn Yankees."
-
C.
Shannon Bream
Shannon Bream is an American journalist, attorney, and television news anchor best known as a prominent host and legal correspondent on Fox News.
-
D.
Stephany Folsom
Stephany Folsom is an American screenwriter best known for co-writing Pixar’s animated film "Toy Story 4" and contributing to various high-profile film and television projects.
-
E.
Kimberly Fritts
Kimberly Fritts is an American political consultant and lobbyist known for her longtime leadership role at the Podesta Group, a prominent Washington, D.C. lobbying firm.
- 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_69d85a121520819093dcce999fdefe1a |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e0161ac8190aa1d52c063c02ad0 |
completed | April 16, 2026, 1:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff2cea6bb88190a6d6f7c55daa4677 |
completed | May 9, 2026, 12:47 p.m. |
Created at: April 10, 2026, 3:17 a.m.