Triple
T3603091
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terriers |
E76302
|
entity |
| Predicate | usesNickname |
P2937
|
FINISHED |
| Object | Terriers |
E76302
|
NE FINISHED |
How this triple was built (2 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: Terriers | Statement: [Terriers, usesNickname, Terriers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Terriers Context triple: [Terriers, usesNickname, Terriers]
-
A.
Terriers
chosen
The Terriers are the athletic teams representing Boston University in collegiate sports competitions.
-
B.
Cairn Terrier
The Cairn Terrier is a small, hardy, and spirited Scottish terrier breed known for its shaggy coat, alert expression, and lively, affectionate personality.
-
C.
Little Tew
Little Tew is a small rural village in Oxfordshire, England, known for its traditional stone cottages and picturesque countryside setting.
-
D.
Shetland sheepdog
The Shetland sheepdog is a small, intelligent herding dog breed resembling a miniature Rough Collie, known for its agility, trainability, and long double coat.
-
E.
Chester French
Chester French is an American indie pop duo known for their genre-blending sound, witty lyrics, and early association with producers like Pharrell Williams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad85d93dcc819094fba90cf70f4996 |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc1df08a48190a4a4a20c8821b321 |
completed | March 8, 2026, 6:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4031dce448190b112ba4d5fa16ee0 |
completed | March 13, 2026, 12:29 p.m. |
Created at: March 8, 2026, 3:22 p.m.