Triple
T7768947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tik-Tok of Oz |
E179020
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Hank the Mule
Hank the Mule is a talking, often comically stubborn but loyal mule who accompanies Betsy Bobbin on her adventures in L. Frank Baum’s Oz series.
|
E687529
|
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: Hank the Mule | Statement: [Tik-Tok of Oz, featuresCharacter, Hank the Mule]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hank the Mule Context triple: [Tik-Tok of Oz, featuresCharacter, Hank the Mule]
-
A.
Mo the Mule
Mo the Mule is the costumed mule mascot representing the University of Central Missouri at its athletic events and campus activities.
-
B.
Gumbo the Dog
Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
-
C.
Roscoe the Lion
Roscoe the Lion is the official lion mascot representing The College of New Jersey at its athletic events and campus activities.
-
D.
Clarence the Ram
Clarence the Ram is the costumed ram mascot representing Winston-Salem State University and its athletic teams.
-
E.
McFogg the Dog
McFogg the Dog is the costumed canine mascot of Simon Fraser University, representing the school's spirit and athletic teams.
- 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: Hank the Mule Triple: [Tik-Tok of Oz, featuresCharacter, Hank the Mule]
Generated description
Hank the Mule is a talking, often comically stubborn but loyal mule who accompanies Betsy Bobbin on her adventures in L. Frank Baum’s Oz series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hank the Mule Target entity description: Hank the Mule is a talking, often comically stubborn but loyal mule who accompanies Betsy Bobbin on her adventures in L. Frank Baum’s Oz series.
-
A.
Mo the Mule
Mo the Mule is the costumed mule mascot representing the University of Central Missouri at its athletic events and campus activities.
-
B.
Gumbo the Dog
Gumbo the Dog is the costumed canine mascot of the NFL’s New Orleans Saints, known for entertaining fans at games and team events.
-
C.
Roscoe the Lion
Roscoe the Lion is the official lion mascot representing The College of New Jersey at its athletic events and campus activities.
-
D.
Clarence the Ram
Clarence the Ram is the costumed ram mascot representing Winston-Salem State University and its athletic teams.
-
E.
McFogg the Dog
McFogg the Dog is the costumed canine mascot of Simon Fraser University, representing the school's spirit and athletic teams.
- 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_69c69f30602c819082ab52cd4af5c592 |
completed | March 27, 2026, 3:16 p.m. |
| NER | Named-entity recognition | batch_69c704376dc08190890f5ebb9f259cfd |
completed | March 27, 2026, 10:27 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7e7818c8190920ea2bde6343968 |
completed | March 29, 2026, 6:34 a.m. |
| NEDg | Description generation | batch_69c8c8698a388190a47d6636fe5d2bb4 |
completed | March 29, 2026, 6:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8c8f3873481908ef6efb2e39272db |
completed | March 29, 2026, 6:38 a.m. |
Created at: March 27, 2026, 4:11 p.m.