Triple
T15913640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Weese |
E385910
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Harry
Harry is a masculine given name of Germanic origin commonly used in English-speaking countries, often as a diminutive of Henry or Harold.
|
E178727
|
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: Harry | Statement: [Harry Weese, givenName, Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Context triple: [Harry Weese, givenName, Harry]
-
A.
Harry
Harry is the given name of Harry S. Truman, the 33rd president of the United States who led the country through the end of World War II and the beginning of the Cold War.
-
B.
Harry
Harry is the given name of Harry Augustus Garfield, an American lawyer, academic, and public official who served as the first head of the U.S. Fuel Administration during World War I.
-
C.
Harry
Harry is the given name of Harry Gregson-Williams, a prominent British film composer and music producer known for his work on numerous Hollywood soundtracks.
-
D.
Harry
Harry is the given name of Lord Woolf, a prominent British judge and former Lord Chief Justice of England and Wales.
-
E.
Harry
Harry is a character in the Peaky Blinders universe who becomes a victim of Arthur Shelby’s violent control and exploitation.
- 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: Harry Triple: [Harry Weese, givenName, Harry]
Generated description
Harry is a masculine given name of Germanic origin commonly used in English-speaking countries, often as a diminutive of Henry or Harold.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Target entity description: Harry is a masculine given name of Germanic origin commonly used in English-speaking countries, often as a diminutive of Henry or Harold.
-
A.
Harry
chosen
Harry is a masculine given name of English origin commonly used in many English-speaking countries.
-
B.
Harry
Harry is the given name of Harry Joseph Letterman, the son of American television host David Letterman.
-
C.
Harry
Harry is the given name of Harry Gregson-Williams, a prominent British film composer and music producer known for his work on numerous Hollywood soundtracks.
-
D.
Harry
Harry is the given name of Harry Nilsson, the influential American singer-songwriter known for hits like "Without You" and "Everybody's Talkin'."
-
E.
Harry
Harry is the given name of Harry Nyquist, a pioneering engineer and physicist known for foundational contributions to information theory and telecommunications.
- F. None of above.
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_69d86da686e4819097cbf3b1fc2d881d |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15661046c819097a53de2a3e0443b |
completed | April 16, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb0592b5c8190a4597644864a6bcb |
completed | May 9, 2026, 10:08 p.m. |
| NEDg | Description generation | batch_69ffb0ef7f3081908744a759bb3e4e8c |
completed | May 9, 2026, 10:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb1dbd7d08190b84ae201e0866139 |
completed | May 9, 2026, 10:14 p.m. |
Created at: April 10, 2026, 4:52 a.m.