Triple
T15132472
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Armed and Dangerous |
E361452
|
entity |
| Predicate | featuresOrganization |
P629
|
FINISHED |
| Object |
Guard Dog Security
Guard Dog Security is a professional security company known for providing armed protection services and highly trained guard personnel.
|
E1137851
|
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: Guard Dog Security | Statement: [Armed and Dangerous, featuresOrganization, Guard Dog Security]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Guard Dog Security Context triple: [Armed and Dangerous, featuresOrganization, Guard Dog Security]
-
A.
K-9
K-9 is a 1989 American buddy cop comedy film starring James Belushi as a detective partnered with a police dog to take down a drug dealer.
-
B.
K-9
K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
-
C.
Watchdog
Watchdog is a long-running BBC television consumer affairs programme that investigates and exposes issues such as scams, faulty products, and poor customer service.
-
D.
Guard
Guard is a surname most notably borne by English actor Dominic Guard, known for his work in film, television, and theatre.
-
E.
Guardino
Guardino is an Italian-origin surname borne by various notable individuals, including American actor Harry Guardino.
- 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: Guard Dog Security Triple: [Armed and Dangerous, featuresOrganization, Guard Dog Security]
Generated description
Guard Dog Security is a professional security company known for providing armed protection services and highly trained guard personnel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Guard Dog Security Target entity description: Guard Dog Security is a professional security company known for providing armed protection services and highly trained guard personnel.
-
A.
K-9
K-9 is a 1989 American buddy cop comedy film starring James Belushi as a detective partnered with a police dog to take down a drug dealer.
-
B.
K-9
K-9 is a robotic dog from the Doctor Who universe, known as a loyal, intelligent companion equipped with advanced technology and weaponry.
-
C.
Watchdog
Watchdog is a long-running BBC television consumer affairs programme that investigates and exposes issues such as scams, faulty products, and poor customer service.
-
D.
Guard
Guard is a surname most notably borne by English actor Dominic Guard, known for his work in film, television, and theatre.
-
E.
Guardino
Guardino is an Italian-origin surname borne by various notable individuals, including American actor Harry Guardino.
- 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_69d85a06450081909c5a14ea9851a15e |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005b29a4c819087f8818e3f5788f5 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feb7fd3c448190b4b06fdc1ab2c6a7 |
completed | May 9, 2026, 4:28 a.m. |
| NEDg | Description generation | batch_69feb8bb774481908272929358817440 |
completed | May 9, 2026, 4:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feb9384b4c81909fe80dec3abc1659 |
completed | May 9, 2026, 4:34 a.m. |
Created at: April 10, 2026, 3:06 a.m.