Triple
T6250363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lytton Strachey |
E140029
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Giles |
E144402
|
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: Giles | Statement: [Lytton Strachey, givenName, Giles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giles Context triple: [Lytton Strachey, givenName, Giles]
-
A.
Giles
chosen
Giles is the given name of Lytton Strachey, the influential English writer and critic associated with the Bloomsbury Group.
-
B.
Giles
Giles is a lonely, aging gay artist and Elisa's compassionate neighbor and confidant in Guillermo del Toro's film "The Shape of Water."
-
C.
Giles Eyre
Giles Eyre was an English judge and politician who served as a Justice of the Court of Common Pleas in the late 17th and early 18th centuries.
-
D.
Rowland
Rowland is the namesake of the Jonsson-Rowland Science Center, likely a notable figure in science or education commemorated by the institution.
-
E.
Rowland
Rowland is the given name of R. H. Macy, the 19th-century American businessman who founded the Macy's department store chain.
- 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_69c008b4858c819095b0199114a9a87b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0633dde348190bbf02a943d94e3be |
completed | March 22, 2026, 9:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2441d4ad88190895237d834f5d9b8 |
completed | March 24, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:24 p.m.