Triple
T6787957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Change |
E155859
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object |
Crystal Davis
Crystal Davis is an individual associated with the group or organization known as Change.
|
E619391
|
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: Crystal Davis | Statement: [Change, hasMember, Crystal Davis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Crystal Davis Context triple: [Change, hasMember, Crystal Davis]
-
A.
Lisa Davis
Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
-
B.
Tamra Davis
Tamra Davis is an American film and television director known for helming popular comedies and music videos, including the Adam Sandler movie "Billy Madison."
-
C.
Sheila Davis
Sheila Davis is a global health leader and nurse who serves as a key executive at the social justice–focused healthcare organization Partners In Health.
-
D.
Tal Wilkenfeld
Tal Wilkenfeld is an Australian bass guitarist, singer, and songwriter renowned for her virtuosic playing and collaborations with major rock and jazz artists.
-
E.
Dionne Davenport
Dionne Davenport is a stylish, sharp-tongued high school student and Cher Horowitz’s best friend in the 1995 teen comedy film "Clueless."
- 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: Crystal Davis Triple: [Change, hasMember, Crystal Davis]
Generated description
Crystal Davis is an individual associated with the group or organization known as Change.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Crystal Davis Target entity description: Crystal Davis is an individual associated with the group or organization known as Change.
-
A.
Lisa Davis
Lisa Davis is a British-American actress best known for voicing Anita in Disney’s animated film "One Hundred and One Dalmatians."
-
B.
Tamra Davis
Tamra Davis is an American film and television director known for helming popular comedies and music videos, including the Adam Sandler movie "Billy Madison."
-
C.
Sheila Davis
Sheila Davis is a global health leader and nurse who serves as a key executive at the social justice–focused healthcare organization Partners In Health.
-
D.
Tal Wilkenfeld
Tal Wilkenfeld is an Australian bass guitarist, singer, and songwriter renowned for her virtuosic playing and collaborations with major rock and jazz artists.
-
E.
Dionne Davenport
Dionne Davenport is a stylish, sharp-tongued high school student and Cher Horowitz’s best friend in the 1995 teen comedy film "Clueless."
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2907d0081908291aad66048b8b1 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c71a871a84819098891f66c6e5b579 |
completed | March 28, 2026, 12:02 a.m. |
| NEDg | Description generation | batch_69c71b6b87d8819085e6ae122f042626 |
completed | March 28, 2026, 12:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c71c00f86c819099ef6ae0766e9f3a |
completed | March 28, 2026, 12:08 a.m. |
Created at: March 27, 2026, 2:14 p.m.