Triple
T18012803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lawrence Grant |
E430923
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Lawrence Grant |
—
|
NE NERFINISHED |
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: Lawrence Grant | Statement: [Lawrence Grant, name, Lawrence Grant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lawrence Grant Context triple: [Lawrence Grant, name, Lawrence Grant]
-
A.
Lawrence Grant
chosen
Lawrence Grant was a British character actor known for his supporting roles in early 20th-century Hollywood films.
-
B.
Lawrence Preston
Lawrence Preston is the principled defense attorney protagonist of the classic American legal drama television series "The Defenders."
-
C.
Lawrence Grand
Lawrence Grand was a prominent British intelligence officer who notably commanded Section D of MI6, the unit responsible for early sabotage and subversive operations before and during the Second World War.
-
D.
Lawrence Foster
Lawrence Foster is an American conductor renowned for his interpretations of Romantic and 20th-century repertoire and his leadership of major orchestras worldwide.
-
E.
Lawrence Guth
Lawrence Guth is an American mathematician known for his influential work in harmonic analysis, combinatorial geometry, and incidence geometry.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b904530081908bf341d842464856 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4b520ea088190b74903f1e1ba49e2 |
completed | April 19, 2026, 10:57 a.m. |
Created at: April 10, 2026, 10:24 a.m.