Triple
T6530256
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Call (2013 film) |
E152212
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Morris Chestnut |
E164800
|
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: Morris Chestnut | Statement: [The Call (2013 film), starring, Morris Chestnut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Morris Chestnut Context triple: [The Call (2013 film), starring, Morris Chestnut]
-
A.
Morris Chestnut
chosen
Morris Chestnut is an American actor known for his charismatic leading roles in films and television series, particularly in romantic comedies and dramas.
-
B.
Haason Reddick
Haason Reddick is an American professional football linebacker known for his pass-rushing prowess in the NFL.
-
C.
Kemba Walker
Kemba Walker is an American professional basketball point guard best known for his All-Star tenure with the Charlotte Hornets and his clutch scoring ability.
-
D.
Delonte West
Delonte West is a former American professional basketball guard best known for his NBA career with teams like the Boston Celtics and Cleveland Cavaliers.
-
E.
Cedric Yarbrough
Cedric Yarbrough is an American actor and comedian best known for his roles on the TV series "Reno 911!" and for voicing characters in animated shows such as "The Boondocks."
- 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_69c688048ec8819093a47f7d332e12ec |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6adac53b0819097fece48a75cc48f |
completed | March 27, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cb7a85dc8190a97138a20728b43f |
completed | March 27, 2026, 6:24 p.m. |
Created at: March 27, 2026, 1:46 p.m.