Triple
T4539609
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mark Phillips |
E107494
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Mark Phillips |
E107494
|
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: Mark Phillips | Statement: [Mark Phillips, name, Mark Phillips]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Phillips Context triple: [Mark Phillips, name, Mark Phillips]
-
A.
Mark Phillips
chosen
Mark Phillips is a British former Olympic equestrian and army officer best known for his marriage to Anne, Princess Royal.
-
B.
Colin Jones
Colin Jones is a fictional character in the Bridget Jones series, known primarily as Bridget Jones’s father.
-
C.
Nigel Davenport
Nigel Davenport was a distinguished English actor known for his work in film, television, and theatre from the 1950s through the 1990s.
-
D.
Colin Welland
Colin Welland was an English actor and screenwriter best known for winning the Academy Award for Best Original Screenplay for the film "Chariots of Fire."
-
E.
Garry Phillips
Garry Phillips is an Australian cinematographer known for his work on feature films including the historical drama "The Railway Man."
- 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_69bd43f922788190b7edfa294e39b178 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd57ba327c8190a7f12e14077b1fa7 |
completed | March 20, 2026, 2:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacfff41481908a5c97ab4fcb9259 |
completed | March 20, 2026, 8:24 p.m. |
Created at: March 20, 2026, 1:04 p.m.