Triple
T20658544
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clifford the Big Red Dog books |
E507692
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
T-Bone
T-Bone is a shy, yellow bulldog puppy who is one of Clifford the Big Red Dog’s close canine friends in the popular children’s book and TV series.
|
E1442764
|
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: T-Bone | Statement: [Clifford the Big Red Dog books, featuresCharacter, T-Bone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-Bone Context triple: [Clifford the Big Red Dog books, featuresCharacter, T-Bone]
-
A.
T-Bone
T-Bone is the costumed mascot character representing the Setters sports teams.
-
B.
T-Bone (song)
"T-Bone" is a track from Dan Fogelberg’s 1988 soft rock album *Never Die Young*, reflecting his characteristic melodic and introspective songwriting style.
-
C.
T-Bone Trail
T-Bone Trail is a multi-use recreational rail-trail in Iowa popular for walking, running, and cycling along a converted former railroad corridor.
-
D.
Baby’s Back
Baby’s Back is a track from the album "Mama Africa," associated with the reggae legend Peter Tosh.
-
E.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
- 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: T-Bone Triple: [Clifford the Big Red Dog books, featuresCharacter, T-Bone]
Generated description
T-Bone is a shy, yellow bulldog puppy who is one of Clifford the Big Red Dog’s close canine friends in the popular children’s book and TV series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: T-Bone Target entity description: T-Bone is a shy, yellow bulldog puppy who is one of Clifford the Big Red Dog’s close canine friends in the popular children’s book and TV series.
-
A.
T-Bone
T-Bone is the costumed mascot character representing the Setters sports teams.
-
B.
T-Bone (song)
"T-Bone" is a track from Dan Fogelberg’s 1988 soft rock album *Never Die Young*, reflecting his characteristic melodic and introspective songwriting style.
-
C.
T-Bone Trail
T-Bone Trail is a multi-use recreational rail-trail in Iowa popular for walking, running, and cycling along a converted former railroad corridor.
-
D.
Baby’s Back
Baby’s Back is a track from the album "Mama Africa," associated with the reggae legend Peter Tosh.
-
E.
Carnes
Carnes is a surname of English origin borne by various individuals and fictional characters, including Ado Annie Carnes from the musical "Oklahoma!".
- 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_69e0b4bf58c081908e52a4500e03ff83 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6b2eefd5c8190a71d4be690a6ae0e |
completed | April 20, 2026, 11:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08c59bcd4c8190925addae1e67c5b4 |
completed | May 16, 2026, 7:29 p.m. |
| NEDg | Description generation | batch_6a08c6b50ea8819083ff85b85b2b6082 |
completed | May 16, 2026, 7:34 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08c7bf78b48190936455734ecf055d |
completed | May 16, 2026, 7:38 p.m. |
Created at: April 16, 2026, 11:43 a.m.