Triple
T20004886
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brett Goldstein |
E494427
|
entity |
| Predicate | hasRole |
P161
|
FINISHED |
| Object |
Tom in Superbob
Tom in Superbob is a character from the British superhero romantic comedy film "SuperBob," portrayed by actor and writer Brett Goldstein.
|
E1405019
|
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: Tom in Superbob | Statement: [Brett Goldstein, hasRole, Tom in Superbob]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tom in Superbob Context triple: [Brett Goldstein, hasRole, Tom in Superbob]
-
A.
Tommo
Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
-
B.
T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
-
C.
Tommie
Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
-
D.
Tommy Pickles
Tommy Pickles is the adventurous, diaper-clad baby and unofficial leader of the infant group in the animated television series "Rugrats."
-
E.
Tommy
Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
- 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: Tom in Superbob Triple: [Brett Goldstein, hasRole, Tom in Superbob]
Generated description
Tom in Superbob is a character from the British superhero romantic comedy film "SuperBob," portrayed by actor and writer Brett Goldstein.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tom in Superbob Target entity description: Tom in Superbob is a character from the British superhero romantic comedy film "SuperBob," portrayed by actor and writer Brett Goldstein.
-
A.
Tommo
Tommo is a familiar diminutive nickname commonly used for people named Thomas, especially in British and Australian contexts.
-
B.
T.O.M.
T.O.M. is the robotic host and mascot of Cartoon Network’s Toonami programming block, known for introducing shows and guiding viewers through the lineup in a futuristic spaceship setting.
-
C.
Tommie
Tommie is the costumed mascot representing the University of St. Thomas in its athletic and school spirit events.
-
D.
Tommy Pickles
Tommy Pickles is the adventurous, diaper-clad baby and unofficial leader of the infant group in the animated television series "Rugrats."
-
E.
Tommy
Tommy is a masculine given name, often a diminutive of Thomas, used in various English-speaking countries.
- 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_69da626b2d748190886981ea90c8b2ea |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e661a46c748190a141ab5aac6ea250 |
completed | April 20, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08050db2648190b3400fabb144215f |
completed | May 16, 2026, 5:47 a.m. |
| NEDg | Description generation | batch_6a0805ed58f881909c94d5d9f8ecf631 |
completed | May 16, 2026, 5:51 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a080668c5dc81909d93f167c6600924 |
completed | May 16, 2026, 5:53 a.m. |
Created at: April 11, 2026, 3:33 p.m.