Triple
T2700393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Heath |
E59214
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Benjamin Heath
Benjamin Heath was an 18th-century English classical scholar and critic known for his work on Greek and Latin literature.
|
E290645
|
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: Benjamin Heath | Statement: [Heath, hasNotableBearer, Benjamin Heath]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Benjamin Heath Context triple: [Heath, hasNotableBearer, Benjamin Heath]
-
A.
Benjamin Russell
Benjamin Russell was an American journalist and newspaper editor credited with popularizing the term "Era of Good Feelings" to describe the period of political harmony following the War of 1812.
-
B.
Benjamin Rice
Benjamin Rice is a music producer known for his work on contemporary pop and soundtrack recordings.
-
C.
Benjamin Goodrich
Benjamin Goodrich is the son of acclaimed British-American actress Olivia de Havilland.
-
D.
Benjamin Cleveland
Benjamin Cleveland was an American frontiersman and militia colonel best known for his leadership in the Patriot victory at the Battle of Kings Mountain during the American Revolutionary War.
-
E.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
- 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: Benjamin Heath Triple: [Heath, hasNotableBearer, Benjamin Heath]
Generated description
Benjamin Heath was an 18th-century English classical scholar and critic known for his work on Greek and Latin literature.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Benjamin Heath Target entity description: Benjamin Heath was an 18th-century English classical scholar and critic known for his work on Greek and Latin literature.
-
A.
Benjamin Russell
Benjamin Russell was an American journalist and newspaper editor credited with popularizing the term "Era of Good Feelings" to describe the period of political harmony following the War of 1812.
-
B.
Benjamin Rice
Benjamin Rice is a music producer known for his work on contemporary pop and soundtrack recordings.
-
C.
Benjamin Goodrich
Benjamin Goodrich is the son of acclaimed British-American actress Olivia de Havilland.
-
D.
Benjamin Cleveland
Benjamin Cleveland was an American frontiersman and militia colonel best known for his leadership in the Patriot victory at the Battle of Kings Mountain during the American Revolutionary War.
-
E.
Samuel Barnes
Samuel Barnes is an author known for his work with the Juicy brand.
- 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_69ab4ac66bc88190b9e4afa5fc843f72 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abda34ba508190be8e2c9e4052adfc |
completed | March 7, 2026, 7:56 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afaf7446f08190b5e073278725d1f4 |
completed | March 10, 2026, 5:43 a.m. |
| NEDg | Description generation | batch_69afb01b48508190a9b668a7273ad422 |
completed | March 10, 2026, 5:46 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afb09133788190862d4b24d77facc0 |
completed | March 10, 2026, 5:48 a.m. |
Created at: March 6, 2026, 9:55 p.m.