Triple
T13230225
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Moss |
E314994
|
entity |
| Predicate | workLocation |
P7
|
FINISHED |
| Object | West Wing |
E3643
|
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: West Wing | Statement: [Donna Moss, workLocation, West Wing]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Wing Context triple: [Donna Moss, workLocation, West Wing]
-
A.
West Wing
The West Wing is the section of the White House that houses the Oval Office and the primary offices of the President of the United States and senior staff.
-
B.
West Wing
The West Wing is a major gallery section of the Cleveland Museum of Art that houses part of its art collections and exhibitions.
-
C.
West Wing
West Wing is a major building within St Thomas’ Hospital in London that houses key clinical and support services for patients.
-
D.
The West Wing (TV series)
chosen
The West Wing (TV series) is an American political drama that follows the inner workings and staff of a fictional U.S. presidential administration.
-
E.
Veep
Veep is an American political satire television series that follows the inept and often chaotic career of a fictional U.S. vice president and later president, Selina Meyer.
- 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_69d806affc688190a25b6ccc588e9c72 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98d336ae08190bfc118cfbefddf84 |
completed | April 10, 2026, 11:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716c4a71c8190b0e0ae40af115c64 |
completed | May 3, 2026, 9:35 a.m. |
Created at: April 9, 2026, 9:21 p.m.