Triple
T11038967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Scarecrow of Oz |
E260958
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Trot
Trot is a young girl from L. Frank Baum’s Oz series who becomes a close companion of characters like the Scarecrow and travels on magical adventures in the Land of Oz.
|
E900776
|
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: Trot | Statement: [The Scarecrow of Oz, featuresCharacter, Trot]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trot Context triple: [The Scarecrow of Oz, featuresCharacter, Trot]
-
A.
Trotter
Trotter is the surname of Tariq "Black Thought" Trotter, the acclaimed rapper, lead MC of The Roots, and influential figure in hip-hop.
-
B.
Ngalop
Ngalop are the dominant ethnic group of Bhutan, traditionally associated with Tibetan Buddhist culture, Dzongkha language, and the country’s political and religious institutions.
-
C.
Tup
Tup is a town in Kyrgyzstan that serves as one of the main urban centers of the Issyk-Kul Region.
-
D.
Trai
Trai is an American actor best known for his role as Andre Lyon on the television series "Empire."
-
E.
Bongo
Bongo is an animated musical segment from Disney’s 1947 anthology film "Fun and Fancy Free," following the adventures of a circus bear who longs for freedom and love.
- 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: Trot Triple: [The Scarecrow of Oz, featuresCharacter, Trot]
Generated description
Trot is a young girl from L. Frank Baum’s Oz series who becomes a close companion of characters like the Scarecrow and travels on magical adventures in the Land of Oz.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trot Target entity description: Trot is a young girl from L. Frank Baum’s Oz series who becomes a close companion of characters like the Scarecrow and travels on magical adventures in the Land of Oz.
-
A.
Trotter
Trotter is the surname of Tariq "Black Thought" Trotter, the acclaimed rapper, lead MC of The Roots, and influential figure in hip-hop.
-
B.
Ngalop
Ngalop are the dominant ethnic group of Bhutan, traditionally associated with Tibetan Buddhist culture, Dzongkha language, and the country’s political and religious institutions.
-
C.
Tup
Tup is a town in Kyrgyzstan that serves as one of the main urban centers of the Issyk-Kul Region.
-
D.
Trai
Trai is an American actor best known for his role as Andre Lyon on the television series "Empire."
-
E.
Bongo
Bongo is an animated musical segment from Disney’s 1947 anthology film "Fun and Fancy Free," following the adventures of a circus bear who longs for freedom and love.
- 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_69d6aa979bdc8190bf0e79104cc098c1 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d797fe93b081909d58bfd4b42715f0 |
completed | April 9, 2026, 12:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3a9d61b548190949f0dfbcb782064 |
completed | April 18, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69e3ad00b5c08190a7bf3ecbeae76d88 |
completed | April 18, 2026, 4:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e3b1fff754819092d634f46fb42387 |
completed | April 18, 2026, 4:32 p.m. |
Created at: April 8, 2026, 9:26 p.m.