Triple
T14954570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan Hambling |
E372886
|
entity |
| Predicate | hasColleague |
P398
|
FINISHED |
| Object | Yaz McKay |
E340911
|
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: Yaz McKay | Statement: [Joan Hambling, hasColleague, Yaz McKay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yaz McKay Context triple: [Joan Hambling, hasColleague, Yaz McKay]
-
A.
Yaz McKay
chosen
Yaz McKay is a character from the television series "The Chair," involved in the academic and personal dramas surrounding an English department at a struggling university.
-
B.
Kimber Henry
Kimber Henry is a central character in the TV drama "Nip/Tuck," known for her tumultuous relationships, modeling career, and complex personal struggles.
-
C.
Drew Van Acker
Drew Van Acker is an American actor best known for his roles on television series such as "Pretty Little Liars" and "Devious Maids."
-
D.
Mackenzie Mauzy
Mackenzie Mauzy is an American actress and singer known for her work on Broadway and in film and television, including her role as Rapunzel in the 2014 musical fantasy film "Into the Woods."
-
E.
Drew Gehling
Drew Gehling is an American stage and screen actor best known for originating the role of Dr. Pomatter in the Broadway musical "Waitress."
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cb336c8190b8a55106fa8fc500 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9c71cc8190aff9165a6f97981a |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:40 a.m.