Triple
T18260077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Norman Panama |
E437323
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Maltese Bippy
The Maltese Bippy is a 1969 horror-comedy film starring Rowan & Martin that parodies mystery and supernatural tropes.
|
E1315801
|
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: The Maltese Bippy | Statement: [Norman Panama, notableWork, The Maltese Bippy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Maltese Bippy Context triple: [Norman Panama, notableWork, The Maltese Bippy]
-
A.
Moppet
Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
-
B.
Binky
Binky is a fictional character from the children's animated series "Arthur," known as a tough-looking but kind-hearted bulldog who plays the clarinet.
-
C.
Fay Maltese
Fay Maltese was the first wife of American actor Gene Hackman, with whom she was married for several decades before their divorce.
-
D.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
-
E.
Merley
Merley is a residential suburb situated on the outskirts of Poole in Dorset, England.
- 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: The Maltese Bippy Triple: [Norman Panama, notableWork, The Maltese Bippy]
Generated description
The Maltese Bippy is a 1969 horror-comedy film starring Rowan & Martin that parodies mystery and supernatural tropes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Maltese Bippy Target entity description: The Maltese Bippy is a 1969 horror-comedy film starring Rowan & Martin that parodies mystery and supernatural tropes.
-
A.
Moppet
Moppet is one of the mischievous kitten siblings in Beatrix Potter’s children’s story "The Tale of Tom Kitten."
-
B.
Binky
Binky is a fictional character from the children's animated series "Arthur," known as a tough-looking but kind-hearted bulldog who plays the clarinet.
-
C.
Fay Maltese
Fay Maltese was the first wife of American actor Gene Hackman, with whom she was married for several decades before their divorce.
-
D.
Pippy
Pippy is an educational programming activity for the Sugar learning platform that lets children explore and write simple Python programs.
-
E.
Merley
Merley is a residential suburb situated on the outskirts of Poole in Dorset, England.
- 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_69d8b913351c8190932b6a426de04b41 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4ff7591b4819083f2b29d60298747 |
completed | April 19, 2026, 4:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03b3f21ac0819081083bfcc7f59b4e |
completed | May 12, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_6a03b7cb11808190b2a2e532a7ae9f2b |
completed | May 12, 2026, 11:29 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03b82f60408190a927ca4322a9e42d |
completed | May 12, 2026, 11:30 p.m. |
Created at: April 10, 2026, 10:34 a.m.