Triple
T7573370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Clive Ward |
E179301
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
John
John is the given name of John Clive Ward, a notable British-Australian theoretical physicist known for his contributions to quantum electrodynamics and the Ward–Takahashi identity.
|
E674144
|
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: John | Statement: [John Clive Ward, givenName, John]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Context triple: [John Clive Ward, givenName, John]
-
A.
John
John is the given name of the American composer John Luther Adams, known for his works inspired by nature and environmental themes.
-
B.
John
John is the first name of John Dashwood, a character in Jane Austen's novel "Sense and Sensibility."
-
C.
John
John is the given first name of American character actor and comedian Rags Ragland.
-
D.
John
John is the given name of actor John Cho, a Korean American performer known for roles in the "Harold & Kumar" films and the "Star Trek" reboot series.
-
E.
John
John is the first name of the fictional character John Connor, the prophesied leader of the human resistance in the Terminator franchise.
- 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: John Triple: [John Clive Ward, givenName, John]
Generated description
John is the given name of John Clive Ward, a notable British-Australian theoretical physicist known for his contributions to quantum electrodynamics and the Ward–Takahashi identity.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: John Target entity description: John is the given name of John Clive Ward, a notable British-Australian theoretical physicist known for his contributions to quantum electrodynamics and the Ward–Takahashi identity.
-
A.
John
John is the given name of John Cockcroft, a pioneering British physicist and Nobel laureate known for his work on nuclear physics and particle acceleration.
-
B.
John
John is the given name of the influential American theoretical physicist John Archibald Wheeler, known for his work in quantum mechanics and general relativity.
-
C.
John
John is the given name of John F. Clauser, an American physicist and Nobel laureate known for his pioneering experimental tests of quantum entanglement and Bell's inequalities.
-
D.
John
John is the given name of the British physicist J. J. Thomson, who is best known for discovering the electron and proposing the plum pudding model of the atom.
-
E.
John
John is the given name of John Hasbrouck Van Vleck, an American physicist and Nobel laureate known for his pioneering work in quantum mechanics and magnetism.
- 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_69c69f316e50819081a271c85c06f918 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c6f94710a0819094508356b8d610ab |
completed | March 27, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c861673ae48190b86e8023fd02771c |
completed | March 28, 2026, 11:16 p.m. |
| NEDg | Description generation | batch_69c861efe5bc81909ea8eb9ddcd7cd82 |
completed | March 28, 2026, 11:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86259a5888190a6fb6a8564188d54 |
completed | March 28, 2026, 11:20 p.m. |
Created at: March 27, 2026, 3:51 p.m.