Triple
T6067165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | HouseBroken |
E135187
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Nibbles
Nibbles is the central character of the story "HouseBroken," around whom the main plot and events revolve.
|
E565463
|
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: Nibbles | Statement: [HouseBroken, mainCharacter, Nibbles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nibbles Context triple: [HouseBroken, mainCharacter, Nibbles]
-
A.
Chomps
Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
-
B.
Chompers
Chompers is one of the official mascots of the Hartford Yard Goats minor league baseball team, known for entertaining fans at games with playful antics and team spirit.
-
C.
Nabbit
Nabbit is a recurring, rabbit-like thief character in the Mario series known for stealing items and dashing through levels while being invincible to most enemies.
-
D.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
E.
Bean Bunny
Bean Bunny is a small, enthusiastic rabbit Muppet character known for his cute appearance and supporting roles in various Muppet productions.
- 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: Nibbles Triple: [HouseBroken, mainCharacter, Nibbles]
Generated description
Nibbles is the central character of the story "HouseBroken," around whom the main plot and events revolve.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nibbles Target entity description: Nibbles is the central character of the story "HouseBroken," around whom the main plot and events revolve.
-
A.
Chomps
Chomps is a dog-themed mascot character for the NFL’s Cleveland Browns, typically depicted as a muscular, anthropomorphic brown dog in team gear.
-
B.
Chompers
Chompers is one of the official mascots of the Hartford Yard Goats minor league baseball team, known for entertaining fans at games with playful antics and team spirit.
-
C.
Nabbit
Nabbit is a recurring, rabbit-like thief character in the Mario series known for stealing items and dashing through levels while being invincible to most enemies.
-
D.
Tukkies
Tukkies is the popular nickname for the University of Pretoria, a major public research university in South Africa.
-
E.
Bean Bunny
Bean Bunny is a small, enthusiastic rabbit Muppet character known for his cute appearance and supporting roles in various Muppet productions.
- 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_69c00879e8048190b690717d19c5bc03 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c0573f17088190a728f1c290cc9d1d |
completed | March 22, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c11d297ff88190a01b98f7ec9d9cf1 |
completed | March 23, 2026, 10:59 a.m. |
| NEDg | Description generation | batch_69c11e956aa08190ac3fef49fb67471c |
completed | March 23, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c11f05ff9081908adc7f40fa12e834 |
completed | March 23, 2026, 11:07 a.m. |
Created at: March 22, 2026, 4:10 p.m.