Triple
T29120141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little Lost Robot |
E737156
|
entity |
| Predicate | robotManufacturer |
P95243
|
FINISHED |
| Object | U.S. Robots and Mechanical Men Corporation |
—
|
NE NERFINISHED |
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: U.S. Robots and Mechanical Men Corporation | Statement: [Little Lost Robot, robotManufacturer, U.S. Robots and Mechanical Men Corporation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: robotManufacturer Context triple: [Little Lost Robot, robotManufacturer, U.S. Robots and Mechanical Men Corporation]
-
A.
carManufacturer
Indicates that one entity is the company that produces or manufactures the car represented by the other entity.
-
B.
robotBrand
chosen
Indicates that one entity is the brand or manufacturer associated with a given robot.
-
C.
bikeManufacturer
Indicates that one entity is the manufacturer or producer of a bicycle associated with another entity.
-
D.
alsoManufacturedBy
Indicates that an item or product is produced by an additional manufacturer beyond the primary or previously mentioned one.
-
E.
manufacturedBy
Indicates that an item or product is produced or created by a specific manufacturer or maker.
- F. None of above.
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_69f077ed54e08190bb02a744e8121a66 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f661f3e9d48190bea96aeb602ab631 |
completed | May 2, 2026, 8:43 p.m. |
| PD | Predicate disambiguation | batch_69f660f082508190a95a7888ad66cb2e |
completed | May 2, 2026, 8:39 p.m. |
Created at: April 28, 2026, 11:25 a.m.