Triple
T16275079
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tamra Davis |
E395103
|
entity |
| Predicate | directorOf |
P537
|
FINISHED |
| Object | CB4 |
E247201
|
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: CB4 | Statement: [Tamra Davis, directorOf, CB4]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CB4 Context triple: [Tamra Davis, directorOf, CB4]
-
A.
CB4
chosen
CB4 is a 1993 satirical comedy film starring Chris Rock that parodies gangsta rap and the music industry.
-
B.
C4
C4 is a military acronym referring to the integrated system of command, control, communications, and computers that supports decision-making and operations.
-
C.
C4
C4 is an early mixtape by Kendrick Lamar (then known as K.Dot) that showcases his formative lyrical style over predominantly Lil Wayne–inspired production.
-
D.
C-4
C-4 is a major circumferential arterial road in Metro Manila, Philippines, forming part of the region’s primary urban ring road network.
-
E.
C-4
C-4 is a major commuter rail line in the Cercanías Madrid network that connects central Madrid with several key suburbs and outlying towns.
- 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_69d87f221d8081909b0b2063e7528ba2 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460d30608190a721aa845fcf7cf6 |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c0ef4c8190b44ac84f71b2ed41 |
completed | May 10, 2026, 5:29 a.m. |
Created at: April 10, 2026, 5:05 a.m.