Triple
T3616495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Debra Lerner Cohen |
E76612
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Debra
Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
|
E373849
|
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: Debra | Statement: [Debra Lerner Cohen, givenName, Debra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Debra Context triple: [Debra Lerner Cohen, givenName, Debra]
-
A.
Debra
Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
-
B.
Deanie
Deanie is a diminutive or affectionate nickname commonly used for someone named Dean.
-
C.
Diane
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
-
D.
Deena Jones
Deena Jones is a central character in the musical and film "Dreamgirls," a member of the girl group modeled on The Supremes who rises to lead stardom amid personal and professional conflicts.
-
E.
Denise
Denise is the custom video display chip used in early Commodore Amiga computers, responsible for handling their advanced graphics and sprite capabilities.
- 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: Debra Triple: [Debra Lerner Cohen, givenName, Debra]
Generated description
Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Debra Target entity description: Debra is a feminine given name commonly used in English-speaking countries, derived from the Hebrew name Deborah meaning "bee."
-
A.
Debra
Debra is a central character in Cory Doctorow's science fiction novel "Down and Out in the Magic Kingdom," set in a futuristic, reputation-based society at Disney World.
-
B.
Deanie
Deanie is a diminutive or affectionate nickname commonly used for someone named Dean.
-
C.
Diane
Diane is a feminine given name of Latin origin, derived from the name of the Roman goddess Diana.
-
D.
Deena Jones
Deena Jones is a central character in the musical and film "Dreamgirls," a member of the girl group modeled on The Supremes who rises to lead stardom amid personal and professional conflicts.
-
E.
Denise
Denise is the custom video display chip used in early Commodore Amiga computers, responsible for handling their advanced graphics and sprite capabilities.
- 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_69ad85dae2fc81908d1ceadbc6af0089 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc27c98088190a493c9eddf6b206a |
completed | March 8, 2026, 6:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4331a82688190add137b1f68c955e |
completed | March 13, 2026, 3:54 p.m. |
| NEDg | Description generation | batch_69b438135e8c81909c56e1c04499268b |
completed | March 13, 2026, 4:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4388a1ecc81908e1de9f8bcfc008d |
completed | March 13, 2026, 4:17 p.m. |
Created at: March 8, 2026, 3:23 p.m.