Triple
T15356639
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Master Builders |
E367181
|
entity |
| Predicate | recruits |
P4145
|
FINISHED |
| Object | Emmet Brickowski |
E148846
|
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: Emmet Brickowski | Statement: [Master Builders, recruits, Emmet Brickowski]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Emmet Brickowski Context triple: [Master Builders, recruits, Emmet Brickowski]
-
A.
Emmet Brickowski
chosen
Emmet Brickowski is the optimistic everyman construction worker who becomes an unlikely hero and "Special" in the animated film *The Lego Movie*.
-
B.
Luke Bracey
Luke Bracey is an Australian actor known for his roles in films such as "Hacksaw Ridge," "Point Break" (2015), and "The Best of Me."
-
C.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Volcano Choir.
-
D.
Matthew Skemp
Matthew Skemp is a musician best known as a member of the experimental indie rock band Collections of Colonies of Bees.
-
E.
Matthew Skemp
Matthew Skemp is a contributor to the project or work titled "Unmap," likely involved in its creation or development.
- 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_69ff364d82c48190b116528b5c00e918 |
completed | May 9, 2026, 1:27 p.m. |
Created at: April 10, 2026, 3:18 a.m.