Triple
T5478644
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | President of Yale University |
E123416
|
entity |
| Predicate | hasHolder |
P1911
|
FINISHED |
| Object |
Elisha Williams
Elisha Williams was an 18th-century American clergyman, lawyer, and educator who served as a prominent early leader of Yale College.
|
E522199
|
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: Elisha Williams | Statement: [President of Yale University, hasHolder, Elisha Williams]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elisha Williams Context triple: [President of Yale University, hasHolder, Elisha Williams]
-
A.
Isaac Easty
Isaac Easty was a 17th-century New England colonist known primarily as the husband of Mary Easty, one of the women executed during the Salem witch trials.
-
B.
Ephraim Williams
Ephraim Williams was an 18th-century American soldier and landowner whose bequest led to the establishment of Williams College in Massachusetts.
-
C.
Samuel Sharp
Samuel Sharp is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Sharp.
-
D.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
E.
Moses Taylor
Moses Taylor was a prominent 19th-century American merchant, banker, and railroad executive who became one of the wealthiest men of his era.
- 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: Elisha Williams Triple: [President of Yale University, hasHolder, Elisha Williams]
Generated description
Elisha Williams was an 18th-century American clergyman, lawyer, and educator who served as a prominent early leader of Yale College.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elisha Williams Target entity description: Elisha Williams was an 18th-century American clergyman, lawyer, and educator who served as a prominent early leader of Yale College.
-
A.
Isaac Easty
Isaac Easty was a 17th-century New England colonist known primarily as the husband of Mary Easty, one of the women executed during the Salem witch trials.
-
B.
Ephraim Williams
Ephraim Williams was an 18th-century American soldier and landowner whose bequest led to the establishment of Williams College in Massachusetts.
-
C.
Samuel Sharp
Samuel Sharp is a notable individual distinguished enough to be recognized as a prominent bearer of the surname Sharp.
-
D.
Samuel Ellis
Samuel Ellis was the landowner after whom Ellis Island in New York Harbor was named.
-
E.
Moses Taylor
Moses Taylor was a prominent 19th-century American merchant, banker, and railroad executive who became one of the wealthiest men of his era.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd9247a16c8190ac5a02534da48853 |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf48a001c081909b0e9f1b36fd10db |
completed | March 22, 2026, 1:40 a.m. |
| NEDg | Description generation | batch_69bf496861f08190aca539510ddfebbc |
completed | March 22, 2026, 1:44 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf49c564188190b4b3a40ee09b0461 |
completed | March 22, 2026, 1:45 a.m. |
Created at: March 20, 2026, 2:09 p.m.