Triple
T15356135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AFOL |
E367171
|
entity |
| Predicate | hasTheme |
P261
|
FINISHED |
| Object | Lego Technic |
E74782
|
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: Lego Technic | Statement: [AFOL, hasTheme, Lego Technic]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lego Technic Context triple: [AFOL, hasTheme, Lego Technic]
-
A.
LEGO Technic elements
LEGO Technic elements are specialized LEGO parts such as beams, gears, axles, and connectors designed to build complex, mechanically functional models.
-
B.
Lego
chosen
Lego is a globally popular line of interlocking plastic construction toys produced by The Lego Group, known for enabling creative building and inspiring a wide range of media, games, and themed experiences.
-
C.
Meccano
Meccano is a historic construction toy system made of metal strips, plates, gears, and nuts and bolts that allows users to build working mechanical models.
-
D.
Brick
Brick is a hulking, melee-focused Vault Hunter and one of the original playable protagonists in the Borderlands video game series.
-
E.
Brick
Brick is a 2005 neo-noir mystery film set in a high school, written and directed by Rian Johnson and featuring Lukas Haas in a prominent role.
- 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_69d85a1483788190ad93c2748e8af34b |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03e2c00648190ae2325e1ee58dcfd |
completed | April 16, 2026, 1:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff0b45e3048190a7fa62ead6916fed |
completed | May 9, 2026, 10:24 a.m. |
Created at: April 10, 2026, 3:18 a.m.