Triple
T14066223
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zelma Atwood |
E338478
|
entity |
| Predicate | hasFirstName |
P17
|
FINISHED |
| Object |
Zelma
Zelma is a feminine given name of Hebrew origin, often considered a variant of Selma or Anselma.
|
E1080084
|
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: Zelma | Statement: [Zelma Atwood, hasFirstName, Zelma]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zelma Context triple: [Zelma Atwood, hasFirstName, Zelma]
-
A.
Clarita
Clarita is a Spanish diminutive form of the given name Clara, often used as an affectionate or familiar variant.
-
B.
Melva
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
-
C.
Zelma Atwood
Zelma Atwood is best known as the widow of legendary soul singer Otis Redding and the longtime steward of his musical legacy and estate.
-
D.
Antonia Van Drimmelen
Antonia Van Drimmelen is a film editor known for her work on the political drama film "Charlie Wilson's War."
-
E.
Alva Burn
Alva Burn is a watercourse in Scotland associated with the village of Alva, flowing through the surrounding glen and landscape.
- 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: Zelma Triple: [Zelma Atwood, hasFirstName, Zelma]
Generated description
Zelma is a feminine given name of Hebrew origin, often considered a variant of Selma or Anselma.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zelma Target entity description: Zelma is a feminine given name of Hebrew origin, often considered a variant of Selma or Anselma.
-
A.
Clarita
Clarita is a Spanish diminutive form of the given name Clara, often used as an affectionate or familiar variant.
-
B.
Melva
Melva is a character in Richard Bruce Nugent’s modernist short story "Smoke, Lilies and Jade," which explores themes of race, sexuality, and artistic identity during the Harlem Renaissance.
-
C.
Zelma Atwood
Zelma Atwood is best known as the widow of legendary soul singer Otis Redding and the longtime steward of his musical legacy and estate.
-
D.
Antonia Van Drimmelen
Antonia Van Drimmelen is a film editor known for her work on the political drama film "Charlie Wilson's War."
-
E.
Alva Burn
Alva Burn is a watercourse in Scotland associated with the village of Alva, flowing through the surrounding glen and landscape.
- 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_69d81c67ba6c819091935650dfb3b895 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de568b81f08190a571004261c0e8e4 |
completed | April 14, 2026, 3 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcd09db51c8190ab275e68b1aec120 |
completed | May 7, 2026, 5:49 p.m. |
| NEDg | Description generation | batch_69fcd340e25881908c2ff61a40da2e7a |
completed | May 7, 2026, 6 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fcd3fe5f5081909291e8b9af77ee33 |
completed | May 7, 2026, 6:03 p.m. |
Created at: April 9, 2026, 10:21 p.m.