Triple
T373567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Greenleaf Whittier |
E8321
|
entity |
| Predicate | middleName |
P143
|
FINISHED |
| Object |
Greenleaf
Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
|
E47323
|
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: Greenleaf | Statement: [John Greenleaf Whittier, middleName, Greenleaf]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greenleaf Context triple: [John Greenleaf Whittier, middleName, Greenleaf]
-
A.
Greene
Greene is a common English surname borne by numerous notable figures in politics, the military, the arts, and other fields.
-
B.
Grove
Grove is a surname most prominently associated with Andrew S. Grove, the influential engineer and former CEO of Intel who helped shape the modern semiconductor industry.
-
C.
Shadowmoss
Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
-
D.
City of Trees
City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
-
E.
Cresco
Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
- 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: Greenleaf Triple: [John Greenleaf Whittier, middleName, Greenleaf]
Generated description
Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greenleaf Target entity description: Greenleaf is the middle name of the 19th-century American Quaker poet and abolitionist John Greenleaf Whittier.
-
A.
Greene
Greene is a common English surname borne by numerous notable figures in politics, the military, the arts, and other fields.
-
B.
Grove
Grove is a surname most prominently associated with Andrew S. Grove, the influential engineer and former CEO of Intel who helped shape the modern semiconductor industry.
-
C.
Shadowmoss
Shadowmoss is a tram stop on the Manchester Metrolink network in the Wythenshawe area of Greater Manchester, England.
-
D.
City of Trees
City of Trees is a popular nickname for Sacramento, California, highlighting its extensive urban tree canopy and lush greenery.
-
E.
Cresco
Cresco is a small city in northeastern Iowa known for its agricultural community and historic architecture.
- 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_69a2e7f2ec648190b42bc7db424f8109 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec13b9b48190b294d998c6720132 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3f0a9608481908bee4d83768e6497 |
completed | March 1, 2026, 7:54 a.m. |
| NEDg | Description generation | batch_69a3f131d1f88190ac131204c5402687 |
completed | March 1, 2026, 7:56 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3f202f308819098affb41d502d5fb |
completed | March 1, 2026, 8 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.