Triple
T13083774
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bottle Rocket |
E310276
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Mr. Henry
Mr. Henry is a charismatic, eccentric mentor figure and small-time criminal mastermind in the film "Bottle Rocket," known for guiding the main characters into a misguided heist.
|
E1022671
|
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: Mr. Henry | Statement: [Bottle Rocket, featuresCharacter, Mr. Henry]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mr. Henry Context triple: [Bottle Rocket, featuresCharacter, Mr. Henry]
-
A.
Mr. Hill
Mr. Hill is the formal title used to address Marion Hill, likely in a professional or respectful social context.
-
B.
Uncle Henry
Uncle Henry is Dorothy Gale’s hardworking Kansas farmer uncle who appears as her guardian in L. Frank Baum’s Oz series.
-
C.
Mr. Brown
Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
-
D.
Mr. Brown
Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
-
E.
Mr. Brown
Mr. Brown is a comically eccentric, churchgoing older man known for his loud outfits, over-the-top reactions, and frequent appearances in Tyler Perry’s Madea franchise.
- 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: Mr. Henry Triple: [Bottle Rocket, featuresCharacter, Mr. Henry]
Generated description
Mr. Henry is a charismatic, eccentric mentor figure and small-time criminal mastermind in the film "Bottle Rocket," known for guiding the main characters into a misguided heist.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mr. Henry Target entity description: Mr. Henry is a charismatic, eccentric mentor figure and small-time criminal mastermind in the film "Bottle Rocket," known for guiding the main characters into a misguided heist.
-
A.
Mr. Hill
Mr. Hill is the formal title used to address Marion Hill, likely in a professional or respectful social context.
-
B.
Uncle Henry
Uncle Henry is Dorothy Gale’s hardworking Kansas farmer uncle who appears as her guardian in L. Frank Baum’s Oz series.
-
C.
Mr. Brown
Mr. Brown is the kind-hearted but often flustered father figure from the "Paddington" film series.
-
D.
Mr. Brown
Mr. Brown is one of the color-coded hijackers in the crime thriller "The Taking of Pelham One Two Three," known for his role in the subway train hostage plot.
-
E.
Mr. Brown
Mr. Brown is a comically eccentric, churchgoing older man known for his loud outfits, over-the-top reactions, and frequent appearances in Tyler Perry’s Madea franchise.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d981361e8c819099376435aa3a7aa3 |
completed | April 10, 2026, 11:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6e272629c8190926dbc9df447b6c4 |
completed | May 3, 2026, 5:51 a.m. |
| NEDg | Description generation | batch_69f6e4774f4881908692c2d57158db4a |
completed | May 3, 2026, 6 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6e5630a5c8190bc17abac3cc6612e |
completed | May 3, 2026, 6:04 a.m. |
Created at: April 9, 2026, 9:02 p.m.