Triple
T12414793
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Calais Campbell |
E296608
|
entity |
| Predicate | fullName |
P16
|
FINISHED |
| Object | Calais Malik Campbell |
E296608
|
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: Calais Malik Campbell | Statement: [Calais Campbell, fullName, Calais Malik Campbell]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calais Malik Campbell Context triple: [Calais Campbell, fullName, Calais Malik Campbell]
-
A.
Calais Campbell
chosen
Calais Campbell is an American football defensive end renowned for his long, productive NFL career and extensive community service efforts.
-
B.
Ser'Darius Blain
Ser'Darius Blain is an American actor best known for his role as Anthony "Fridge" Johnson in the recent Jumanji film series.
-
C.
Antoine Harris
Antoine Harris is an American actor best known for his role in the television series "The Breaks."
-
D.
Jamael Orondé Barber
Jamael Orondé Barber, better known as Ronde Barber, is a former NFL cornerback renowned for his long, standout career with the Tampa Bay Buccaneers and his role in their Super Bowl XXXVII victory.
-
E.
Hakeem Campbell
Hakeem Campbell is a main supporting character on the sitcom "Moesha," known as Moesha's loyal, humorous best friend and neighbor.
- 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_69d6ad9f464c81909db36d7e96e34b9e |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d94d6c4f6c8190bc99d3f7b64205c3 |
completed | April 10, 2026, 7:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6348ccaf88190aeb0dfb7fe1d8dec |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:55 p.m.