Triple
T15178239
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bed |
E362668
|
entity |
| Predicate | musicVideoDirector |
P4911
|
FINISHED |
| Object | Jonathan Mannion |
E1141153
|
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: Jonathan Mannion | Statement: [Bed, musicVideoDirector, Jonathan Mannion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jonathan Mannion Context triple: [Bed, musicVideoDirector, Jonathan Mannion]
-
A.
Jonathan Mannion
chosen
Jonathan Mannion is an American photographer and music video director best known for his iconic portraits and visual work with major hip-hop and R&B artists.
-
B.
Jack Mannion
Jack Mannion is the tough, reform-minded police chief protagonist of the television crime drama series "The District."
-
C.
David Mannion
David Mannion is a British television news executive and former editor known for his senior roles at ITN and his commentary on media and war reporting.
-
D.
Sam McCandlish
Sam McCandlish is a machine learning researcher known for his work on large-scale language models and contributions to influential AI research at OpenAI.
-
E.
Ian Parker
Ian Parker is a British keyboardist best known for his work with the rock band The Hollies and various other prominent artists.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00663b4148190b647592eda315d1d |
completed | April 15, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed32a1e3c81909ca2bd431a01e9cf |
completed | May 9, 2026, 6:24 a.m. |
Created at: April 10, 2026, 3:09 a.m.