Triple
T13792295
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jumping the Broom |
E331427
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object | Laz Alonso |
E432692
|
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: Laz Alonso | Statement: [Jumping the Broom, hasCastMember, Laz Alonso]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laz Alonso Context triple: [Jumping the Broom, hasCastMember, Laz Alonso]
-
A.
Laz Alonso
chosen
Laz Alonso is an American actor known for his roles in films like "Avatar" and the TV series "The Boys."
-
B.
Lohan Anderson
Lohan Anderson is an architecture firm associated with architect Dirk Lohan, known for its contemporary design work.
-
C.
Alfonso Jordan
Alfonso Jordan was a 12th-century Count of Toulouse and prominent Occitan nobleman who played a significant role in the politics of southern France and the Crusader states.
-
D.
Mateo Arias
Mateo Arias is an American actor known for roles in films like "The Samuel Project" and for being the younger brother of actor Moisés Arias.
-
E.
Danny Lopez
Danny Lopez is a former American professional boxer and world featherweight champion known for his formidable punching power and exciting, aggressive style in the ring.
- 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0258a1408190a837d17c6d6a2bd4 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b0817bd88190a46e539f2ff24d83 |
completed | May 3, 2026, 8:30 p.m. |
Created at: April 9, 2026, 10:11 p.m.