Triple
T9725330
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry Crerar |
E235593
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Harry
Harry is a masculine given name of Germanic origin, commonly used in English-speaking countries as a form 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 Crerar, givenName, Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Context triple: [Harry Crerar, givenName, Harry]
-
A.
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.
-
B.
Harry
Harry is the given name of the famed American baseball broadcaster Harry Caray, known for his exuberant announcing style and long association with the Chicago Cubs.
-
C.
Harry
Harry is the given name of Harry A. Blackmun, an American jurist who served as an Associate Justice of the U.S. Supreme Court.
-
D.
Harry
Harry is the introspective, regretful writer who reflects on his wasted potential and failed relationships while facing death in Ernest Hemingway’s short story "The Snows of Kilimanjaro."
-
E.
Harry
Harry is a character from the 2001 British drama film "The Swimming Pool" (also known as "La Piscine"), which centers on complex relationships and psychological tension around a poolside setting.
- 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 Crerar, givenName, Harry]
Generated description
Harry is a masculine given name of Germanic origin, commonly used in English-speaking countries as a form 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 as a form 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 Gregson-Williams, a prominent British film composer and music producer known for his work on numerous Hollywood soundtracks.
-
C.
Harry
Harry is the given name of Harry Joseph Letterman, the son of American television host David Letterman.
-
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_69ca84d0fad481909cdd45aa77416c48 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9e7838448190a7b5b259765a0d95 |
completed | April 1, 2026, 10:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d19fadc2948190b405fb7f249b82aa |
completed | April 4, 2026, 11:33 p.m. |
| NEDg | Description generation | batch_69d1a0988f00819094b5fe6e4d328688 |
completed | April 4, 2026, 11:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d1a0f811fc8190b6a46a0441159089 |
completed | April 4, 2026, 11:38 p.m. |
Created at: March 30, 2026, 8:21 p.m.