Triple
T5320361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Connors |
E121657
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object |
James Scott Connors
James Scott Connors is an American former world No. 1 professional tennis player renowned for his fierce competitiveness, powerful baseline game, and record-setting longevity on the men's tour.
|
E511602
|
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: James Scott Connors | Statement: [Jimmy Connors, fullName, James Scott Connors]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: James Scott Connors Context triple: [Jimmy Connors, fullName, James Scott Connors]
-
A.
Martin Connor
Martin Connor is a film editor known for his work on the biographical war drama "The Railway Man."
-
B.
Marc Connelly
Marc Connelly was an American playwright, director, and member of the Algonquin Round Table who won the Pulitzer Prize for Drama for "The Green Pastures."
-
C.
Kevin Connor
Kevin Connor is a film editor known for his work on the satirical World War I musical film "Oh! What a Lovely War."
-
D.
James Durkan
James Durkan is a notable individual recognized as a prominent bearer of the Durkan surname.
-
E.
Connor Jessup
Connor Jessup is a Canadian actor and filmmaker best known for his roles in the TV series "Falling Skies" and "Locke & Key."
- 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: James Scott Connors Triple: [Jimmy Connors, fullName, James Scott Connors]
Generated description
James Scott Connors is an American former world No. 1 professional tennis player renowned for his fierce competitiveness, powerful baseline game, and record-setting longevity on the men's tour.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: James Scott Connors Target entity description: James Scott Connors is an American former world No. 1 professional tennis player renowned for his fierce competitiveness, powerful baseline game, and record-setting longevity on the men's tour.
-
A.
Martin Connor
Martin Connor is a film editor known for his work on the biographical war drama "The Railway Man."
-
B.
Marc Connelly
Marc Connelly was an American playwright, director, and member of the Algonquin Round Table who won the Pulitzer Prize for Drama for "The Green Pastures."
-
C.
Kevin Connor
Kevin Connor is a film editor known for his work on the satirical World War I musical film "Oh! What a Lovely War."
-
D.
James Durkan
James Durkan is a notable individual recognized as a prominent bearer of the Durkan surname.
-
E.
Connor Jessup
Connor Jessup is a Canadian actor and filmmaker best known for his roles in the TV series "Falling Skies" and "Locke & Key."
- 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_69bd463d956c819088105c3db802c017 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8574c4b48190a0513ce59eedb564 |
completed | March 20, 2026, 5:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf18a117d48190a7fb45be0b002f4e |
completed | March 21, 2026, 10:16 p.m. |
| NEDg | Description generation | batch_69bf197733b48190910bdd60fbd94fff |
completed | March 21, 2026, 10:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf19e1b064819091851e975f83e781 |
completed | March 21, 2026, 10:21 p.m. |
Created at: March 20, 2026, 1:59 p.m.