Triple
T2327223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Noel Langley |
E48314
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Langley
Langley is a surname of English origin borne by various notable individuals across fields such as literature, science, and politics.
|
E255150
|
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: Langley | Statement: [Noel Langley, familyName, Langley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langley Context triple: [Noel Langley, familyName, Langley]
-
A.
Langley
Langley is a small coastal city on Whidbey Island in Washington State, known for its scenic waterfront, arts community, and tourism.
-
B.
Langley City
Langley City is an urban municipality in British Columbia, Canada, located in the Fraser Valley as part of the Metro Vancouver region.
-
C.
Maple Ridge
Maple Ridge is a suburban city in British Columbia, Canada, located on the northeastern edge of the Metro Vancouver region.
-
D.
Richmond, British Columbia
Richmond, British Columbia is a coastal city in Metro Vancouver known for its diverse population, extensive Asian cultural influence, and role as home to Vancouver International Airport.
-
E.
Abbotsford
Abbotsford is a city in British Columbia, Canada, located in the agriculturally rich Fraser Valley near the Canada–U.S. border.
- 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: Langley Triple: [Noel Langley, familyName, Langley]
Generated description
Langley is a surname of English origin borne by various notable individuals across fields such as literature, science, and politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Langley Target entity description: Langley is a surname of English origin borne by various notable individuals across fields such as literature, science, and politics.
-
A.
Langley
Langley is a small coastal city on Whidbey Island in Washington State, known for its scenic waterfront, arts community, and tourism.
-
B.
Langley City
Langley City is an urban municipality in British Columbia, Canada, located in the Fraser Valley as part of the Metro Vancouver region.
-
C.
Maple Ridge
Maple Ridge is a suburban city in British Columbia, Canada, located on the northeastern edge of the Metro Vancouver region.
-
D.
Richmond, British Columbia
Richmond, British Columbia is a coastal city in Metro Vancouver known for its diverse population, extensive Asian cultural influence, and role as home to Vancouver International Airport.
-
E.
Abbotsford
Abbotsford is a city in British Columbia, Canada, located in the agriculturally rich Fraser Valley near the Canada–U.S. border.
- 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_69a88aa308a88190b0b86c011fda7fce |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc64c7f1881909b0d847f7782e803 |
completed | March 7, 2026, 6:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae897243c48190a18b0e02ad664ead |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8ace309c8190b57426d1449de723 |
completed | March 9, 2026, 8:54 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8b56d8548190aa6a99f3f7d99c3e |
completed | March 9, 2026, 8:56 a.m. |
Created at: March 4, 2026, 7:50 p.m.