Triple
T2342324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mount Caroline Livermore |
E45052
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Caroline Livermore
Caroline Livermore was a conservationist and civic leader known for her pivotal role in preserving natural landscapes in the San Francisco Bay Area.
|
E258874
|
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: Caroline Livermore | Statement: [Mount Caroline Livermore, namedAfter, Caroline Livermore]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Caroline Livermore Context triple: [Mount Caroline Livermore, namedAfter, Caroline Livermore]
-
A.
Annalee Whitmore
Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
-
B.
Mary Newman
Mary Newman was the first wife of the English sea captain and explorer Sir Francis Drake in the late 16th century.
-
C.
Beth Greene
Beth Greene is a gentle yet resilient young survivor and aspiring singer from the television series "The Walking Dead."
-
D.
Sarah Eaves
Sarah Eaves was the partner and later wife of the renowned English printer and typographer John Baskerville, closely involved in his household and business affairs.
-
E.
Melissa Stark
Melissa Stark is an American television sportscaster best known for her work as a sideline reporter on NFL broadcasts.
- 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: Caroline Livermore Triple: [Mount Caroline Livermore, namedAfter, Caroline Livermore]
Generated description
Caroline Livermore was a conservationist and civic leader known for her pivotal role in preserving natural landscapes in the San Francisco Bay Area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Caroline Livermore Target entity description: Caroline Livermore was a conservationist and civic leader known for her pivotal role in preserving natural landscapes in the San Francisco Bay Area.
-
A.
Annalee Whitmore
Annalee Whitmore is a screenwriter known for her work on the classic musical film "Babes in Arms."
-
B.
Mary Newman
Mary Newman was the first wife of the English sea captain and explorer Sir Francis Drake in the late 16th century.
-
C.
Beth Greene
Beth Greene is a gentle yet resilient young survivor and aspiring singer from the television series "The Walking Dead."
-
D.
Sarah Eaves
Sarah Eaves was the partner and later wife of the renowned English printer and typographer John Baskerville, closely involved in his household and business affairs.
-
E.
Melissa Stark
Melissa Stark is an American television sportscaster best known for her work as a sideline reporter on NFL broadcasts.
- 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_69a88917935081909b755dbf38e81024 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abc6ad01fc81909e386986e9acc989 |
completed | March 7, 2026, 6:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae9622cdb08190835222482bd22cf4 |
completed | March 9, 2026, 9:42 a.m. |
| NEDg | Description generation | batch_69ae977776ec8190ad5f7ce4594d73d9 |
completed | March 9, 2026, 9:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae9b64daf08190afa6898242bde864 |
completed | March 9, 2026, 10:05 a.m. |
Created at: March 4, 2026, 7:52 p.m.