Triple
T2360019
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zachariah Chandler |
E47249
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Chandler
Chandler is an English occupational surname historically given to people who made or sold candles.
|
E258108
|
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: Chandler | Statement: [Zachariah Chandler, familyName, Chandler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chandler Context triple: [Zachariah Chandler, familyName, Chandler]
-
A.
Chandler
Chandler is a rapidly growing suburban city in the Phoenix metropolitan area known for its technology industry and family-friendly communities.
-
B.
Carson
Carson is the surname of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
-
C.
Fallon
Fallon is a small city in western Nevada known for its agricultural community, nearby Naval Air Station, and role as a regional service hub.
-
D.
Blythe
Blythe is a small desert city in Southern California near the Arizona border, known as a stopover along Interstate 10 by the Colorado River.
-
E.
Riverside
Riverside is a leisure and entertainment district in Norwich, England, featuring shops, restaurants, a cinema, and nightlife venues along the riverside.
- 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: Chandler Triple: [Zachariah Chandler, familyName, Chandler]
Generated description
Chandler is an English occupational surname historically given to people who made or sold candles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chandler Target entity description: Chandler is an English occupational surname historically given to people who made or sold candles.
-
A.
Chandler
Chandler is a rapidly growing suburban city in the Phoenix metropolitan area known for its technology industry and family-friendly communities.
-
B.
Carson
Carson is the surname of Rachel Carson, the influential American marine biologist and conservationist whose writings advanced the global environmental movement.
-
C.
Fallon
Fallon is a small city in western Nevada known for its agricultural community, nearby Naval Air Station, and role as a regional service hub.
-
D.
Blythe
Blythe is a small desert city in Southern California near the Arizona border, known as a stopover along Interstate 10 by the Colorado River.
-
E.
Riverside
Riverside is a leisure and entertainment district in Norwich, England, featuring shops, restaurants, a cinema, and nightlife venues along the riverside.
- 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_69a88a1a4a6081908645b0f2914521ab |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abc722ac3c819091f4316a4a166a77 |
completed | March 7, 2026, 6:35 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae963b84f08190b3ca60db98dd8745 |
completed | March 9, 2026, 9:43 a.m. |
| NEDg | Description generation | batch_69ae96fc0b508190b1da6aa41cddc488 |
completed | March 9, 2026, 9:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae977e539c81909cef638cc61e5ec1 |
completed | March 9, 2026, 9:48 a.m. |
Created at: March 4, 2026, 7:55 p.m.