Triple
T17049586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | English Fairy Tales |
E413657
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Molly Whuppie
Molly Whuppie is a heroine of a traditional English fairy tale known for outwitting a giant through cleverness and bravery.
|
E1248382
|
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: Molly Whuppie | Statement: [English Fairy Tales, hasPart, Molly Whuppie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Whuppie Context triple: [English Fairy Tales, hasPart, Molly Whuppie]
-
A.
Moochie
Moochie is a recurring, energetic child character from classic Disney live-action films and television shows, famously played by actor Kevin Corcoran.
-
B.
Mollyockett
Mollyockett was a well-known Abenaki healer and folk figure from the 18th–19th century New England region, especially associated with western Maine.
-
C.
Molly
Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
-
D.
Molly
Molly is the adventurous young chicken protagonist of the animated film "Chicken Run: Dawn of the Nugget," who drives the story’s escape mission.
-
E.
Molly
Molly is a character from the 1973 crime film "Charley Varrick," which follows a small-time crook entangled with the mob after a bank heist.
- 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: Molly Whuppie Triple: [English Fairy Tales, hasPart, Molly Whuppie]
Generated description
Molly Whuppie is a heroine of a traditional English fairy tale known for outwitting a giant through cleverness and bravery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molly Whuppie Target entity description: Molly Whuppie is a heroine of a traditional English fairy tale known for outwitting a giant through cleverness and bravery.
-
A.
Moochie
Moochie is a recurring, energetic child character from classic Disney live-action films and television shows, famously played by actor Kevin Corcoran.
-
B.
Mollyockett
Mollyockett was a well-known Abenaki healer and folk figure from the 18th–19th century New England region, especially associated with western Maine.
-
C.
Molly
Molly is the central female protagonist in the 1926 silent film "Sparrows," portrayed by Mary Pickford.
-
D.
Molly
Molly is the adventurous young chicken protagonist of the animated film "Chicken Run: Dawn of the Nugget," who drives the story’s escape mission.
-
E.
Molly
Molly is a character from the 1973 crime film "Charley Varrick," which follows a small-time crook entangled with the mob after a bank heist.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa1aeac81909e8d97bd708c6b71 |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012341b8e88190a2bee865be5ca1c1 |
completed | May 11, 2026, 12:30 a.m. |
| NEDg | Description generation | batch_6a012585a1548190a112f55e2d84ccac |
completed | May 11, 2026, 12:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0126536c348190b9b2eadb4969f8c2 |
completed | May 11, 2026, 12:44 a.m. |
Created at: April 10, 2026, 5:34 a.m.