Triple
T16190937
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Emmanuelle Chriqui |
E392936
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Chriqui
Chriqui is a surname most notably associated with Canadian actress Emmanuelle Chriqui, known for her roles in film and television such as HBO's "Entourage."
|
E1199158
|
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: Chriqui | Statement: [Emmanuelle Chriqui, familyName, Chriqui]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chriqui Context triple: [Emmanuelle Chriqui, familyName, Chriqui]
-
A.
Chappy
Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
-
B.
Chacchi
Chacchi is a regional dialect of the Lahndi (Western Punjabi) language spoken in parts of northern Pakistan.
-
C.
Cunco
Cunco is a small town and municipality in southern Chile’s Araucanía Region, known for its rural character and proximity to lakes and Andean landscapes.
-
D.
Cachi
Cachi is a picturesque Andean town in northwestern Argentina, known for its colonial architecture, mountain scenery, and role as a gateway to the Calchaquí Valleys.
-
E.
Chee-Chee
Chee-Chee is the loyal and intelligent monkey companion of Doctor Dolittle in Hugh Lofting’s classic children’s book series.
- 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: Chriqui Triple: [Emmanuelle Chriqui, familyName, Chriqui]
Generated description
Chriqui is a surname most notably associated with Canadian actress Emmanuelle Chriqui, known for her roles in film and television such as HBO's "Entourage."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chriqui Target entity description: Chriqui is a surname most notably associated with Canadian actress Emmanuelle Chriqui, known for her roles in film and television such as HBO's "Entourage."
-
A.
Chappy
Chappy is the informal nickname for Chappaquiddick Island, a small island off the eastern end of Martha’s Vineyard in Massachusetts.
-
B.
Chacchi
Chacchi is a regional dialect of the Lahndi (Western Punjabi) language spoken in parts of northern Pakistan.
-
C.
Cunco
Cunco is a small town and municipality in southern Chile’s Araucanía Region, known for its rural character and proximity to lakes and Andean landscapes.
-
D.
Cachi
Cachi is a picturesque Andean town in northwestern Argentina, known for its colonial architecture, mountain scenery, and role as a gateway to the Calchaquí Valleys.
-
E.
Chee-Chee
Chee-Chee is the loyal and intelligent monkey companion of Doctor Dolittle in Hugh Lofting’s classic children’s book series.
- 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_69d87f1e49ac8190a311b54d32990576 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e222d5769c8190bbb604bfa095a1a5 |
completed | April 17, 2026, 12:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffff095504819096c36d6c5d131207 |
completed | May 10, 2026, 3:44 a.m. |
| NEDg | Description generation | batch_6a0002419cec81909e3cec70968b65a4 |
completed | May 10, 2026, 3:57 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0002ad960c81909c308a12da9b65d6 |
completed | May 10, 2026, 3:59 a.m. |
Created at: April 10, 2026, 5:02 a.m.