Triple
T2350906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sunshine |
E47444
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Chris Gill |
E310585
|
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: Chris Gill | Statement: [Sunshine, editedBy, Chris Gill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Gill Context triple: [Sunshine, editedBy, Chris Gill]
-
A.
Chris Gill
chosen
Chris Gill is a British film editor best known for his work on the acclaimed horror film "28 Days Later" and other notable UK productions.
-
B.
Kevin Hageman
Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
-
C.
Scott Duxbury
Scott Duxbury is a British football executive best known for his long-standing leadership role at Watford Football Club.
-
D.
Kevin Cossom
Kevin Cossom is an American singer, songwriter, and record producer known for his R&B and hip-hop collaborations and songwriting for major artists.
-
E.
Chris McAlister
Chris McAlister is a former NFL cornerback best known for his Pro Bowl career with the Baltimore Ravens, including helping the team win Super Bowl XXXV.
- 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_69a88a1b678c8190bce986922ba60ce0 |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc6f75d888190a2e41edaa532e83f |
completed | March 7, 2026, 6:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0861707ec81908f3823ac4f04d4d6 |
completed | March 10, 2026, 8:59 p.m. |
Created at: March 4, 2026, 7:54 p.m.