Triple
T38218695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | M41A pulse rifle |
E1010750
|
entity |
| Predicate | propBuilder |
P3143
|
FINISHED |
| Object |
Bapty & Co.
Bapty & Co. is a renowned British prop house and armorer known for supplying and customizing firearms and weapon props for major film and television productions.
|
E2260497
|
NE FINISHED |
How this triple was built (3 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: Bapty & Co. | Statement: [M41A pulse rifle, propBuilder, Bapty & Co.]
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: Bapty & Co. Triple: [M41A pulse rifle, propBuilder, Bapty & Co.]
Generated description
Bapty & Co. is a renowned British prop house and armorer known for supplying and customizing firearms and weapon props for major film and television productions.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: propBuilder Context triple: [M41A pulse rifle, propBuilder, Bapty & Co.]
-
A.
builder
chosen
Indicates that an entity is responsible for constructing, creating, or assembling another entity.
-
B.
builderModel
Indicates a relationship where one entity serves as the design or construction template (the "builder model") used to create, configure, or generate another entity.
-
C.
primaryBuilder
Indicates that the subject is the main or lead entity responsible for constructing or creating the object.
-
D.
propState
Indicates that an entity possesses, is in, or exhibits a particular state or condition.
-
E.
propUsed
Indicates that a particular property or attribute is utilized or applied in a given context or situation.
- F. None of above.
Provenance (6 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_69f76dcdc7708190a5f1751d53f40ffe |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fccbd826708190b5fab12c4236299a |
completed | May 7, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a41854f555081909708ff677a965190 |
completed | June 28, 2026, 8:34 p.m. |
| NEDg | Description generation | batch_6a418656494881908409b6ed7f5bf2a5 |
completed | June 28, 2026, 8:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a41870347b0819084084ebb3013c1a1 |
completed | June 28, 2026, 8:41 p.m. |
| PD | Predicate disambiguation | batch_69fcc58838e08190b8fa54aa5c165f2d |
completed | May 7, 2026, 5:02 p.m. |
Created at: May 3, 2026, 4:30 p.m.