Triple
T2695860
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charles Longley |
E58508
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object | Charles Thomas Longley |
E150127
|
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: Charles Thomas Longley | Statement: [Charles Longley, hasChild, Charles Thomas Longley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charles Thomas Longley Context triple: [Charles Longley, hasChild, Charles Thomas Longley]
-
A.
Charles Longley
chosen
Charles Longley was a 19th-century Archbishop of Canterbury who played a key role in shaping the modern Anglican Communion.
-
B.
John Blatchley
John Blatchley was a British theatre director and educator best known as a co-founder of the influential Drama Centre London acting school.
-
C.
William Rutherford Mead
William Rutherford Mead was an American architect best known as one of the principal partners in the influential late-19th- and early-20th-century architectural firm McKim, Mead & White.
-
D.
John L. Lumley
John L. Lumley was a prominent American fluid dynamicist known for his pioneering contributions to the understanding and modeling of turbulence.
-
E.
William Rawn
William Rawn is an American architect known for designing prominent cultural and educational buildings, including acclaimed performance spaces.
- 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_69ab4ac269e481909cb317d79e68b75b |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda2f7bf88190a1e3103dd014d871 |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afb67e21d481908ce4ec01603767bb |
completed | March 10, 2026, 6:13 a.m. |
Created at: March 6, 2026, 9:55 p.m.