Triple
T15565651
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harry and the Hendersons |
E371107
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Harry
Harry is the gentle, friendly Bigfoot creature who becomes part of a suburban family in the comedy film "Harry and the Hendersons."
|
E1164238
|
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 and the Hendersons, mainCharacter, Harry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry Context triple: [Harry and the Hendersons, mainCharacter, 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 first name of Major League Baseball manager and former pitcher Bud Black.
-
E.
Harry
Harry is the given first name of the American outlaw better known by his nickname, the Sundance Kid.
- 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 and the Hendersons, mainCharacter, Harry]
Generated description
Harry is the gentle, friendly Bigfoot creature who becomes part of a suburban family in the comedy film "Harry and the Hendersons."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry Target entity description: Harry is the gentle, friendly Bigfoot creature who becomes part of a suburban family in the comedy film "Harry and the Hendersons."
-
A.
Harry
Harry is the unsettlingly helpful and increasingly menacing stranger who insinuates himself into a family's life in the French psychological thriller film "With a Friend Like Harry...".
-
B.
Harry
Harry is a helpful central protagonist characterized by his readiness to assist others.
-
C.
Harry
Harry is a fictional character best known as the leader of a group of professional thieves in the 2018 heist film "Widows."
-
D.
Harry
Harry is the given name of American comedian and actor Harry Einstein, known for his radio character "Parkyakarkus."
-
E.
Harry
Harry is a character from the romantic comedy film "Love Actually," known for his role in one of the movie’s interwoven relationship storylines.
- 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_69d85cc6cf40819091f4a5facee1ebe6 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04ddd753c8190b51eaef433258081 |
completed | April 16, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff456a3b08819092f9f517bbef5577 |
completed | May 9, 2026, 2:32 p.m. |
| NEDg | Description generation | batch_69ff49541fcc8190a1d22721bc255e19 |
completed | May 9, 2026, 2:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff49f6db508190b0127a59d332512e |
completed | May 9, 2026, 2:51 p.m. |
Created at: April 10, 2026, 4:10 a.m.