Triple
T573001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Jeter |
E13702
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Derek
Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
|
E80773
|
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: Derek | Statement: [Derek Jeter, givenName, Derek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Derek Context triple: [Derek Jeter, givenName, Derek]
-
A.
Derek Bryceson
Derek Bryceson was a British-born Tanzanian politician and conservationist who served as director of Tanzania’s national parks and played a key role in supporting Jane Goodall’s chimpanzee research.
-
B.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
C.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
D.
Danny
Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
-
E.
Dave
Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
- 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: Derek Triple: [Derek Jeter, givenName, Derek]
Generated description
Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Derek Target entity description: Derek is a masculine given name of English origin commonly used in the United States and other English-speaking countries.
-
A.
Derek Bryceson
Derek Bryceson was a British-born Tanzanian politician and conservationist who served as director of Tanzania’s national parks and played a key role in supporting Jane Goodall’s chimpanzee research.
-
B.
Dustin
Dustin is a masculine given name commonly used in English-speaking countries.
-
C.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
D.
Danny
Danny is the young boy protagonist of the science-fiction adventure film "Zathura: A Space Adventure," whose discovery of a mysterious board game launches the story’s intergalactic journey.
-
E.
Dave
Dave is a common masculine given name, often a shortened form of David, used widely in English-speaking countries.
- 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_69a4933fa4d88190a7949cc83c08c5c1 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b4ae0988190bdd0ad428b784d85 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a57b51a58481909d8e602b3fe3c68c |
completed | March 2, 2026, 11:58 a.m. |
| NEDg | Description generation | batch_69a57dbe4aa88190ad6d185f8151f85b |
completed | March 2, 2026, 12:08 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a57e3b4d448190bd7f4a6249b7e3a1 |
completed | March 2, 2026, 12:10 p.m. |
Created at: March 1, 2026, 7:33 p.m.