Triple
T4407110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Eleanor Dall |
E93760
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Dall
Dall is a surname most notably associated with Anna Eleanor Dall, a member of the extended Roosevelt family.
|
E437907
|
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: Dall | Statement: [Anna Eleanor Dall, familyName, Dall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dall Context triple: [Anna Eleanor Dall, familyName, Dall]
-
A.
Dall.
Dall. is the standard legal citation abbreviation for the early United States Supreme Court case reporter known as Dallas Reports.
-
B.
Yupiit
Yupiit are an Indigenous Arctic people of Alaska and Siberia known for their distinct Yupik languages, subsistence lifestyle, and rich cultural traditions.
-
C.
Gadus
Gadus is a genus of marine fish that includes the economically important true cods found in cold and temperate waters of the Northern Hemisphere.
-
D.
Hvaler
Hvaler is a Norwegian coastal municipality and archipelago in Viken county, known for its islands, fishing communities, and popular seaside recreation areas.
-
E.
Nanooks
Nanooks is the nickname for the University of Alaska Fairbanks athletic teams, representing the school in NCAA competition.
- 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: Dall Triple: [Anna Eleanor Dall, familyName, Dall]
Generated description
Dall is a surname most notably associated with Anna Eleanor Dall, a member of the extended Roosevelt family.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dall Target entity description: Dall is a surname most notably associated with Anna Eleanor Dall, a member of the extended Roosevelt family.
-
A.
Dall.
Dall. is the standard legal citation abbreviation for the early United States Supreme Court case reporter known as Dallas Reports.
-
B.
Yupiit
Yupiit are an Indigenous Arctic people of Alaska and Siberia known for their distinct Yupik languages, subsistence lifestyle, and rich cultural traditions.
-
C.
Gadus
Gadus is a genus of marine fish that includes the economically important true cods found in cold and temperate waters of the Northern Hemisphere.
-
D.
Hvaler
Hvaler is a Norwegian coastal municipality and archipelago in Viken county, known for its islands, fishing communities, and popular seaside recreation areas.
-
E.
Nanooks
Nanooks is the nickname for the University of Alaska Fairbanks athletic teams, representing the school in NCAA competition.
- 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_69b345158c748190a2c040fce2da9980 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3548b1ca08190b3136867c7098d86 |
completed | March 13, 2026, 12:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f609f7f881909d12735f4028a108 |
completed | March 14, 2026, 11:58 p.m. |
| NEDg | Description generation | batch_69b5f689da008190ae5bd42af1f95bfa |
completed | March 15, 2026, midnight |
| NED2 | Entity disambiguation (via description) | batch_69b5f72f5dac819081f98d835c467aca |
completed | March 15, 2026, 12:02 a.m. |
Created at: March 12, 2026, 11:28 p.m.