Triple
T11157512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Internal Affairs |
E263948
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Faye Grant |
E893067
|
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: Faye Grant | Statement: [Internal Affairs, starring, Faye Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Faye Grant Context triple: [Internal Affairs, starring, Faye Grant]
-
A.
Faye Grant
chosen
Faye Grant is an American actress best known for her role as Dr. Juliet Parrish in the 1980s science fiction television miniseries "V."
-
B.
Faye Medwick
Faye Medwick is a fictional character appearing in the work titled "Chapter Two."
-
C.
Faye Tozer
Faye Tozer is an English singer, dancer, and actress best known as a member of the pop group Steps.
-
D.
Paula McFadden
Paula McFadden is the single-mother protagonist of Neil Simon’s romantic comedy "The Goodbye Girl," known for her sharp wit, vulnerability, and evolving relationship with an eccentric actor who becomes her unexpected roommate.
-
E.
Lindsay Duncan
Lindsay Duncan is a Scottish actress acclaimed for her work on stage, film, and television, known for roles in productions such as "About Time," "Rome," and "Doctor Who."
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e87fe9a881909540ecc4ed9b6b9f |
completed | April 9, 2026, 5:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f01869e6c8819093f2768b57b183aa |
completed | April 28, 2026, 2:16 a.m. |
Created at: April 8, 2026, 9:28 p.m.