Triple
T22674631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Dent |
E560314
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Harry
Harry is the given name of Harry Dent, an American financial newsletter writer and economic forecaster known for his controversial market predictions.
|
E560314
|
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 Dent, givenName, Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Context triple: [Harry Dent, givenName, Harry]
-
A.
Harry
Harry is the given name of Harry F. Byrd Sr., a prominent 20th-century American politician and long-serving U.S. Senator from Virginia.
-
B.
Harry
Harry is the young wizard protagonist of J.K. Rowling's Harry Potter series, known for surviving Voldemort's attack and attending Hogwarts School of Witchcraft and Wizardry.
-
C.
Harry
Harry is the given name of American character actor and musician Harry Dean Stanton, known for his distinctive roles in film and television.
-
D.
Harry
Harry is a fictional character who appears in the narrative of "The Collection."
-
E.
Harry
Harry is the given name of Harry K. Thaw, the American millionaire best known for his 1906 murder of architect Stanford White in a scandalous crime of passion.
- 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 Dent, givenName, Harry]
Generated description
Harry is the given name of Harry Dent, an American financial newsletter writer and economic forecaster known for his controversial market predictions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Target entity description: Harry is the given name of Harry Dent, an American financial newsletter writer and economic forecaster known for his controversial market predictions.
-
A.
Harry
chosen
Harry is the given name of Harry Dent, an American financial author and economic forecaster known for his controversial market predictions.
-
B.
Harry
Harry is the given name of Harry Nyquist, a pioneering engineer and physicist known for foundational contributions to information theory and telecommunications.
-
C.
Harry
Harry is the given first name of American businessman Wayne Huizenga, known for building Fortune 500 companies in waste management, video rental, and auto sales.
-
D.
Harry
Harry is the given name of Harry Kurnitz, an American playwright, screenwriter, and mystery novelist active in the mid-20th century.
-
E.
Harry
Harry is the given name of Harry Nilsson, the influential American singer-songwriter known for hits like "Without You" and "Everybody's Talkin'."
- 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_69e2454bfd00819099115715a22cb057 |
completed | April 17, 2026, 2:35 p.m. |
| NER | Named-entity recognition | batch_69f178229e908190b696d14a93c11344 |
completed | April 29, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b73ef30588190a40ad1bbc8d47832 |
completed | May 18, 2026, 8:17 p.m. |
| NEDg | Description generation | batch_6a0b7486b4308190b3457074c45cec14 |
completed | May 18, 2026, 8:20 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0b74ebf8c08190bc3f2bd0b442ef9c |
completed | May 18, 2026, 8:22 p.m. |
Created at: April 17, 2026, 3:10 p.m.