Triple
T5907941
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Éponine |
E131386
|
entity |
| Predicate | portrayedBy |
P1507
|
FINISHED |
| Object |
Carrie Hope Fletcher
Carrie Hope Fletcher is a British actress, singer, and author best known for her work in West End musicals and her popular online presence.
|
E555818
|
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: Carrie Hope Fletcher | Statement: [Éponine, portrayedBy, Carrie Hope Fletcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carrie Hope Fletcher Context triple: [Éponine, portrayedBy, Carrie Hope Fletcher]
-
A.
Carrie Katherine Richards
Carrie Katherine Richards, better known as Kate Richards O'Hare, was a prominent early 20th-century American socialist leader, antiwar activist, and orator.
-
B.
Carley Knox
Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
-
C.
Carrie Turner
Carrie Turner was one of the early wives of musician and bandleader Ike Turner, known primarily in relation to his personal life.
-
D.
Abby Blodgett
Abby Blodgett is a person notable enough to be specifically cited as a bearer of the Blodgett surname.
-
E.
Tiana Rogers
Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
- 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: Carrie Hope Fletcher Triple: [Éponine, portrayedBy, Carrie Hope Fletcher]
Generated description
Carrie Hope Fletcher is a British actress, singer, and author best known for her work in West End musicals and her popular online presence.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carrie Hope Fletcher Target entity description: Carrie Hope Fletcher is a British actress, singer, and author best known for her work in West End musicals and her popular online presence.
-
A.
Carrie Katherine Richards
Carrie Katherine Richards, better known as Kate Richards O'Hare, was a prominent early 20th-century American socialist leader, antiwar activist, and orator.
-
B.
Carley Knox
Carley Knox is a sports executive best known for her leadership role in the WNBA’s Minnesota Lynx organization.
-
C.
Carrie Turner
Carrie Turner was one of the early wives of musician and bandleader Ike Turner, known primarily in relation to his personal life.
-
D.
Abby Blodgett
Abby Blodgett is a person notable enough to be specifically cited as a bearer of the Blodgett surname.
-
E.
Tiana Rogers
Tiana Rogers was a Cherokee woman known for her marriage to Sam Houston, the American statesman and leader of the Republic of Texas.
- 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_69c008593a44819081a07ae0efe6c574 |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c03773f4188190a11276b2d5baad08 |
completed | March 22, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c00e25f88190a5eb68ee234e4f6c |
completed | March 23, 2026, 4:22 a.m. |
| NEDg | Description generation | batch_69c0c1db6d548190ba4be143aa7c7905 |
completed | March 23, 2026, 4:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c0c2bdd44881909aa85589d31e771a |
completed | March 23, 2026, 4:34 a.m. |
Created at: March 22, 2026, 3:59 p.m.