Triple
T4505470
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Max |
E101320
|
entity |
| Predicate | includesBrand |
P11989
|
FINISHED |
| Object | DC |
unclear NED1
|
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: DC | Statement: [Max, includesBrand, DC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DC Context triple: [Max, includesBrand, DC]
-
A.
DC
DC is the standard two-letter U.S. postal abbreviation for the District of Columbia, the federal district containing the nation’s capital, Washington.
-
B.
DC
DC is the widely used nickname of Dan Carter, the legendary New Zealand rugby union fly-half regarded as one of the greatest players in the sport’s history.
-
C.
DC Comics
DC Comics is a major American comic book publisher best known for iconic superhero characters such as Superman, Batman, and Wonder Woman.
-
D.
DC Entertainment
DC Entertainment is a media company and subsidiary of Warner Bros. responsible for managing and developing film, television, and other adaptations of DC Comics properties.
-
E.
DCU
DCU is a modern public university in Dublin, Ireland, known for its focus on innovation, research, and industry-oriented education.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56ff78748190bb667e70c69dc817 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdacce0f10819092e92c144627344b |
completed | March 20, 2026, 8:23 p.m. |
Created at: March 20, 2026, 1:01 p.m.