Triple
T13954488
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinker Bell and the Great Fairy Rescue |
E335618
|
entity |
| Predicate | writer |
P1360
|
FINISHED |
| Object |
Rob Muir
Rob Muir is a screenwriter best known for his work on the animated Disney film "Tinker Bell and the Great Fairy Rescue."
|
E1074097
|
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: Rob Muir | Statement: [Tinker Bell and the Great Fairy Rescue, writer, Rob Muir]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rob Muir Context triple: [Tinker Bell and the Great Fairy Rescue, writer, Rob Muir]
-
A.
Duncan Stewart
Duncan Stewart is a music producer best known for his work on U2’s album "Songs of Surrender."
-
B.
Grant Muir
Grant Muir is an individual notable enough to be recognized as a bearer of the surname Muir, though specific widely known achievements or roles are not clearly documented.
-
C.
Alastair Muir
Alastair Muir is a photographer best known for his work capturing theatre and performing arts productions.
-
D.
Andrew Duncan
Andrew Duncan was a British industrialist and politician who served as the United Kingdom’s Minister of Supply during the Second World War.
-
E.
Andrew Duncan
Andrew Duncan is an actor known for his role in the classic 1977 ice hockey comedy film "Slap Shot."
- 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: Rob Muir Triple: [Tinker Bell and the Great Fairy Rescue, writer, Rob Muir]
Generated description
Rob Muir is a screenwriter best known for his work on the animated Disney film "Tinker Bell and the Great Fairy Rescue."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Rob Muir Target entity description: Rob Muir is a screenwriter best known for his work on the animated Disney film "Tinker Bell and the Great Fairy Rescue."
-
A.
Duncan Stewart
Duncan Stewart is a music producer best known for his work on U2’s album "Songs of Surrender."
-
B.
Grant Muir
Grant Muir is an individual notable enough to be recognized as a bearer of the surname Muir, though specific widely known achievements or roles are not clearly documented.
-
C.
Alastair Muir
Alastair Muir is a photographer best known for his work capturing theatre and performing arts productions.
-
D.
Andrew Duncan
Andrew Duncan was a British industrialist and politician who served as the United Kingdom’s Minister of Supply during the Second World War.
-
E.
Andrew Duncan
Andrew Duncan is an actor known for his role in the classic 1977 ice hockey comedy film "Slap Shot."
- 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_69d81c6081b88190b53e317c3370c8fe |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e78a4a481908e438745631a43c0 |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac8c06ec8190a6dfceab55da5b30 |
completed | May 6, 2026, 9:03 p.m. |
| NEDg | Description generation | batch_69fbafe60f1c8190bf9f98f83bdf05db |
completed | May 6, 2026, 9:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fbb04881f481909800f0183b30c370 |
completed | May 6, 2026, 9:19 p.m. |
Created at: April 9, 2026, 10:17 p.m.