Triple
T12356611
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Collection |
E294628
|
entity |
| Predicate | featuresRelationshipBetween |
P84787
|
FINISHED |
| Object |
Harry and Bill
Harry and Bill are characters whose relationship is a central focus of the film "The Collection."
|
E979937
|
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 and Bill | Statement: [The Collection, featuresRelationshipBetween, Harry and Bill]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Harry and Bill Context triple: [The Collection, featuresRelationshipBetween, Harry and Bill]
-
A.
Harry O
Harry O is a 1970s American television crime drama series centered on a private investigator, noted for its character-driven storytelling and realistic tone.
-
B.
Hougharry
Hougharry is a small coastal settlement on the island of North Uist in Scotland’s Outer Hebrides.
-
C.
Harry Black
Harry Black is a film associated with Indian actor, director, and satirist I. S. Johar, reflecting his work in mid-20th-century cinema.
-
D.
Clarkson Potter
Clarkson Potter is a prominent American publishing imprint known for its high-quality cookbooks, lifestyle, and design titles.
-
E.
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.
- 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 and Bill Triple: [The Collection, featuresRelationshipBetween, Harry and Bill]
Generated description
Harry and Bill are characters whose relationship is a central focus of the film "The Collection."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Harry and Bill Target entity description: Harry and Bill are characters whose relationship is a central focus of the film "The Collection."
-
A.
Harry O
Harry O is a 1970s American television crime drama series centered on a private investigator, noted for its character-driven storytelling and realistic tone.
-
B.
Hougharry
Hougharry is a small coastal settlement on the island of North Uist in Scotland’s Outer Hebrides.
-
C.
Harry Black
Harry Black is a film associated with Indian actor, director, and satirist I. S. Johar, reflecting his work in mid-20th-century cinema.
-
D.
Clarkson Potter
Clarkson Potter is a prominent American publishing imprint known for its high-quality cookbooks, lifestyle, and design titles.
-
E.
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.
- 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_69d6ab6ccbec8190b09e2d357aa80064 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d94d46007c81908e0f4b590402bf58 |
completed | April 10, 2026, 7:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62ab4cdec8190849604ef2ec498ba |
completed | May 2, 2026, 4:47 p.m. |
| NEDg | Description generation | batch_69f62be420308190bcb00d8b37b09ea2 |
completed | May 2, 2026, 4:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f63050f5d48190881688d12c4c1819 |
completed | May 2, 2026, 5:11 p.m. |
Created at: April 8, 2026, 9:54 p.m.