Triple
T13995634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gentleman |
E336688
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Trudy Bellinger |
E1074177
|
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: Trudy Bellinger | Statement: [Gentleman, musicVideoDirector, Trudy Bellinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trudy Bellinger Context triple: [Gentleman, musicVideoDirector, Trudy Bellinger]
-
A.
Trudy Bellinger
chosen
Trudy Bellinger is a British music video director known for her visually distinctive work with prominent pop and rock artists.
-
B.
Tracy Mercer
Tracy Mercer is a television producer best known for her executive production work on the political drama series "Madam Secretary."
-
C.
Tricia Lott
Tricia Lott is the wife of former U.S. Senator and Senate Majority Leader Trent Lott and is known for her role as a political spouse and public figure in Mississippi.
-
D.
Tricia Vessey
Tricia Vessey is an American actress known for her roles in independent films of the late 1990s and early 2000s.
-
E.
Shirley Bellinger
Shirley Bellinger is a fictional death row inmate and recurring antagonist from the television drama series "Oz."
- 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_69d81c645c5c8190b1fd16a285a1b78a |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2eb53f508190855cd69b8061dd77 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc32789e08190be0f1d1685dcc90e |
completed | May 6, 2026, 10:39 p.m. |
Created at: April 9, 2026, 10:19 p.m.