Triple
T16635195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Three Ninjas |
E404179
|
entity |
| Predicate | characterRole |
P268
|
FINISHED |
| Object |
Tum-Tum is the youngest brother
Tum-Tum is a lively, food-loving young martial artist and the youngest of the three ninja brothers in the "Three Ninjas" film series.
|
E1224167
|
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: Tum-Tum is the youngest brother | Statement: [Three Ninjas, characterRole, Tum-Tum is the youngest brother]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tum-Tum is the youngest brother Context triple: [Three Ninjas, characterRole, Tum-Tum is the youngest brother]
-
A.
Tommo
Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
-
B.
Tutty
Tutty is a given name most notably associated with the fictional character Tutty Bomowski.
-
C.
Timmy
Timmy is the loyal dog who accompanies the Famous Five on their adventures in Enid Blyton’s classic children’s novel "Five on a Treasure Island."
-
D.
Timmy
Timmy is the loyal doll-like sidekick and companion of the witch Tabitha Lenox in the soap opera "Passions."
-
E.
Tuffy
Tuffy is the live Tamaskan dog who serves as the official canine mascot for North Carolina State University’s 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: Tum-Tum is the youngest brother Triple: [Three Ninjas, characterRole, Tum-Tum is the youngest brother]
Generated description
Tum-Tum is a lively, food-loving young martial artist and the youngest of the three ninja brothers in the "Three Ninjas" film series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tum-Tum is the youngest brother Target entity description: Tum-Tum is a lively, food-loving young martial artist and the youngest of the three ninja brothers in the "Three Ninjas" film series.
-
A.
Tommo
Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
-
B.
Tutty
Tutty is a given name most notably associated with the fictional character Tutty Bomowski.
-
C.
Timmy
Timmy is the loyal dog who accompanies the Famous Five on their adventures in Enid Blyton’s classic children’s novel "Five on a Treasure Island."
-
D.
Timmy
Timmy is the loyal doll-like sidekick and companion of the witch Tabitha Lenox in the soap opera "Passions."
-
E.
Tuffy
Tuffy is the nickname of former professional baseball outfielder Tuffy Rhodes, known for his notable performances in both Major League Baseball and Nippon Professional Baseball.
- 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_69d8838a41f08190b0c3f79c47df5078 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e378e999d48190bff680040dbc883d |
completed | April 18, 2026, 12:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a007dc05bd881909c6b2e0d95622aa1 |
completed | May 10, 2026, 12:44 p.m. |
| NEDg | Description generation | batch_6a007e1909b88190ad2587b5d5433e2e |
completed | May 10, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007eda229c8190a6b99400141cf0b6 |
completed | May 10, 2026, 12:49 p.m. |
Created at: April 10, 2026, 5:17 a.m.