Triple
T8725289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Doug Mitchell |
E207115
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Babe: Pig in the City
Babe: Pig in the City is a 1998 family fantasy film and sequel to Babe, following the talking pig Babe on misadventures in a surreal, sprawling metropolis.
|
E754973
|
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: Babe: Pig in the City | Statement: [Doug Mitchell, notableWork, Babe: Pig in the City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Babe: Pig in the City Context triple: [Doug Mitchell, notableWork, Babe: Pig in the City]
-
A.
Babe
"Babe" is a novel by American author Marianne Wiggins, known for its inventive narrative voice and exploration of complex personal relationships.
-
B.
Babe
Babe is the nickname of Thomas "Babe" Levy, the fictional graduate student and marathon runner portrayed by Dustin Hoffman in the 1976 thriller film "Marathon Man."
-
C.
Babe
Babe is the famous nickname of George Herman "Babe" Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
-
D.
Babe
"Babe" is a 1990s pop song by the British boy band Take That, known as one of their early hit ballads.
-
E.
Babe
Babe is a civil parish located within the municipality of Bragança in northeastern Portugal.
- 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: Babe: Pig in the City Triple: [Doug Mitchell, notableWork, Babe: Pig in the City]
Generated description
Babe: Pig in the City is a 1998 family fantasy film and sequel to Babe, following the talking pig Babe on misadventures in a surreal, sprawling metropolis.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Babe: Pig in the City Target entity description: Babe: Pig in the City is a 1998 family fantasy film and sequel to Babe, following the talking pig Babe on misadventures in a surreal, sprawling metropolis.
-
A.
Babe
"Babe" is a novel by American author Marianne Wiggins, known for its inventive narrative voice and exploration of complex personal relationships.
-
B.
Babe
Babe is the nickname of Thomas "Babe" Levy, the fictional graduate student and marathon runner portrayed by Dustin Hoffman in the 1976 thriller film "Marathon Man."
-
C.
Babe
Babe is the famous nickname of George Herman "Babe" Ruth, the legendary American baseball player widely regarded as one of the greatest hitters in the sport's history.
-
D.
Babe
"Babe" is a 1990s pop song by the British boy band Take That, known as one of their early hit ballads.
-
E.
Babe
Babe is a civil parish located within the municipality of Bragança in northeastern Portugal.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d1404948190bc45d14a1ddb1a7e |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf42a3efa881908ffc5e1a257fd472 |
completed | April 3, 2026, 4:31 a.m. |
| NEDg | Description generation | batch_69cf449d717c819086c4bfd23a93ca2c |
completed | April 3, 2026, 4:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf4578473081909fc55632c366a56a |
completed | April 3, 2026, 4:43 a.m. |
Created at: March 30, 2026, 6:36 p.m.