Triple
T3636058
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Apple III |
E77069
|
entity |
| Predicate | codename |
P2980
|
FINISHED |
| Object |
Sara
Sara was the internal codename used by Apple for its Apple III personal computer during development.
|
E375411
|
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: Sara | Statement: [Apple III, codename, Sara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Context triple: [Apple III, codename, Sara]
-
A.
Sara
Sara is a language spoken in parts of Central Africa, particularly in Chad.
-
B.
Sara
Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
-
C.
Samantha
Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
-
D.
Samantha
Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
-
E.
Sandra
Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
- 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: Sara Triple: [Apple III, codename, Sara]
Generated description
Sara was the internal codename used by Apple for its Apple III personal computer during development.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Target entity description: Sara was the internal codename used by Apple for its Apple III personal computer during development.
-
A.
Sara
Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
-
B.
Sara
Sara is a language spoken in parts of Central Africa, particularly in Chad.
-
C.
Samantha
Samantha is the middle name of the fictional socialite Tracy Samantha Lord from the classic film and play "The Philadelphia Story."
-
D.
Samantha
Samantha is an AI character, likely designed as a virtual persona with human-like conversational abilities and personality traits.
-
E.
Sandra
Sandra is the given name of Sandra Day O’Connor, the first woman to serve as a Justice on the United States Supreme Court.
- 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_69ad85dd0be48190b738990cb20c4731 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3278bb8819098bbeac023410111 |
completed | March 8, 2026, 6:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b44f1ec2bc8190ae88a2010f84e998 |
completed | March 13, 2026, 5:53 p.m. |
| NEDg | Description generation | batch_69b453862a60819094d3052cef717693 |
completed | March 13, 2026, 6:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b45ca7a84481908e10cee8346f1de6 |
completed | March 13, 2026, 6:51 p.m. |
Created at: March 8, 2026, 3:24 p.m.