Triple
T546013
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AOC-in-C Fighter Command |
E12733
|
entity |
| Predicate | positionHeldBy |
P8
|
FINISHED |
| Object |
Graham Stanton
Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
|
E169276
|
NE FINISHED |
How this triple was built (4 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: Graham Stanton | Statement: [AOC-in-C Fighter Command, positionHeldBy, Graham Stanton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graham Stanton Context triple: [AOC-in-C Fighter Command, positionHeldBy, Graham Stanton]
-
A.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
-
B.
Barrie M. Osborne
Barrie M. Osborne is an American film producer best known for his work on large-scale, critically acclaimed epics such as The Lord of the Rings trilogy.
-
C.
Geoffrey Palmer
Geoffrey Palmer is a New Zealand lawyer, academic, and politician who served as the country’s Prime Minister in the late 1980s.
-
D.
Ian Stewart
Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
-
E.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Graham Stanton Triple: [AOC-in-C Fighter Command, positionHeldBy, Graham Stanton]
Generated description
Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graham Stanton Target entity description: Graham Stanton is a senior Royal Air Force officer who served as Air Officer Commanding-in-Chief of Fighter Command.
-
A.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
-
B.
Barrie M. Osborne
Barrie M. Osborne is an American film producer best known for his work on large-scale, critically acclaimed epics such as The Lord of the Rings trilogy.
-
C.
Geoffrey Palmer
Geoffrey Palmer is a New Zealand lawyer, academic, and politician who served as the country’s Prime Minister in the late 1980s.
-
D.
Ian Stewart
Ian Stewart is a British mathematician and prolific popular science writer known for his engaging books and articles on mathematics and its applications.
-
E.
Peter Sargeant
Peter Sargeant was a colonial-era jurist who served as a judge on the Court of Oyer and Terminer.
- F. None of above. chosen
Provenance (5 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a498e150e88190b35b1bc7a376ca07 |
completed | March 1, 2026, 7:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad158273188190ba7d9005161f4a70 |
completed | March 8, 2026, 6:21 a.m. |
| NEDg | Description generation | batch_69ad16bc23808190ba26aa98764f3186 |
completed | March 8, 2026, 6:27 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad172912488190b77c77e4e61e0183 |
completed | March 8, 2026, 6:28 a.m. |
Created at: March 1, 2026, 7:32 p.m.