Triple
T399537
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bobby Orr |
E9248
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Orr
Orr is a surname of Scottish origin most famously associated with legendary Canadian ice hockey defenseman Bobby Orr.
|
E51170
|
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: Orr | Statement: [Bobby Orr, familyName, Orr]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Orr Context triple: [Bobby Orr, familyName, Orr]
-
A.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
B.
Gilbert
Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
-
C.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
D.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
E.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
- 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: Orr Triple: [Bobby Orr, familyName, Orr]
Generated description
Orr is a surname of Scottish origin most famously associated with legendary Canadian ice hockey defenseman Bobby Orr.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Orr Target entity description: Orr is a surname of Scottish origin most famously associated with legendary Canadian ice hockey defenseman Bobby Orr.
-
A.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
B.
Gilbert
Gilbert is a rapidly growing suburban town in the southeastern Phoenix metropolitan area known for its family-friendly communities and high quality of life.
-
C.
Hayes
Hayes is a suburban district in southeast London, England, known for its residential character and green spaces within the London Borough of Bromley.
-
D.
Brewster
Brewster is a coastal town on Cape Cod in Massachusetts known for its scenic beaches, historic charm, and bayside conservation lands.
-
E.
Brewster
Brewster is a small hamlet and census-designated place in Putnam County, New York, known for its historic downtown and role as a local commercial and transportation hub.
- 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_69a2e8004cb88190b92ed1add6abf41a |
completed | Feb. 28, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69a2ec8d0ca881909d786e8eed9b6748 |
completed | Feb. 28, 2026, 1:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a413f275ac81908b6fd095a6d5a415 |
completed | March 1, 2026, 10:24 a.m. |
| NEDg | Description generation | batch_69a41464d2a8819085ee2fc8a86a7628 |
completed | March 1, 2026, 10:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a414a7aff08190ab54f4118cec790d |
completed | March 1, 2026, 10:27 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.