Triple
T8647458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laughton, Sussex |
E205012
|
entity |
| Predicate | hasCivilParish |
P2739
|
FINISHED |
| Object | Laughton |
E655592
|
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: Laughton | Statement: [Laughton, Sussex, hasCivilParish, Laughton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laughton Context triple: [Laughton, Sussex, hasCivilParish, Laughton]
-
A.
Laughton
chosen
Laughton is an English surname most famously associated with the acclaimed 20th-century actor and director Charles Laughton.
-
B.
Farnum
Farnum is a locality within Providence County, Rhode Island, likely a small village or neighborhood rather than an incorporated city.
-
C.
Hannington
Hannington is a small rural village in Wiltshire, England, known for its traditional English countryside setting and historic character.
-
D.
Hartley
Hartley is an English-language surname of Old English origin, commonly associated with various notable figures across fields such as science, politics, and the arts.
-
E.
Hartley
Hartley is a small census-designated community located in Solano County, California.
- 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_69ca834e56848190abb0eeaec9dedd32 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc48112b4881908901214f41b6bf71 |
completed | March 31, 2026, 10:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ceccb8b91881908630f3e4c4461af4 |
completed | April 2, 2026, 8:08 p.m. |
Created at: March 30, 2026, 6:29 p.m.