Triple
T6296274
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lacey Chabert |
E141138
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Lacey
Lacey is a feminine given name most notably borne by American actress Lacey Chabert.
|
E582826
|
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: Lacey | Statement: [Lacey Chabert, givenName, Lacey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lacey Context triple: [Lacey Chabert, givenName, Lacey]
-
A.
Lacey, Washington
Lacey, Washington is a suburban city in Thurston County near Olympia, known for its proximity to state government centers and its role as a regional administrative and commercial hub.
-
B.
Isleton
Isleton is a small historic city in California’s Sacramento–San Joaquin River Delta, known for its legacy as a former riverboat and agricultural hub with notable Chinese and Japanese American heritage.
-
C.
Everett
Everett is a city in Middlesex County, Massachusetts, located just north of Boston and known for its industrial history and urban residential character.
-
D.
Everett
Everett is a surname of English origin borne by various notable individuals, including American politician and orator Edward Everett.
-
E.
Everett
Everett is a city in western Washington State, known as a major industrial and maritime hub north of Seattle and home to a large Boeing aircraft assembly plant.
- 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: Lacey Triple: [Lacey Chabert, givenName, Lacey]
Generated description
Lacey is a feminine given name most notably borne by American actress Lacey Chabert.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lacey Target entity description: Lacey is a feminine given name most notably borne by American actress Lacey Chabert.
-
A.
Lacey, Washington
Lacey, Washington is a suburban city in Thurston County near Olympia, known for its proximity to state government centers and its role as a regional administrative and commercial hub.
-
B.
Isleton
Isleton is a small historic city in California’s Sacramento–San Joaquin River Delta, known for its legacy as a former riverboat and agricultural hub with notable Chinese and Japanese American heritage.
-
C.
Everett
Everett is a surname of English origin borne by various notable individuals, including American politician and orator Edward Everett.
-
D.
Everett
Everett is a city in Middlesex County, Massachusetts, located just north of Boston and known for its industrial history and urban residential character.
-
E.
Everett
Everett is a city in western Washington State, known as a major industrial and maritime hub north of Seattle and home to a large Boeing aircraft assembly plant.
- 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_69c008cdf2ac8190bb640c94478fb4ed |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0643ac2b48190b2db036ce709e7ea |
completed | March 22, 2026, 9:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c5198e2c1c81909d39adffbdadcbdf |
completed | March 26, 2026, 11:33 a.m. |
| NEDg | Description generation | batch_69c51b04fa688190a366d5c90150a530 |
completed | March 26, 2026, 11:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c583978758819094aebde9d410f849 |
completed | March 26, 2026, 7:05 p.m. |
Created at: March 22, 2026, 4:27 p.m.