Triple
T610441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cedric Maxwell |
E12085
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Cedric |
E74962
|
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: Cedric | Statement: [Cedric Maxwell, givenName, Cedric]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cedric Context triple: [Cedric Maxwell, givenName, Cedric]
-
A.
Cedric
chosen
Cedric is a central comedic character in the film "Think Like a Man," portrayed as a recently divorced man navigating relationships and masculinity with humorous bravado and vulnerability.
-
B.
Cedric Maxwell
Cedric Maxwell is a former NBA forward best known for his key role in the Boston Celtics’ 1981 and 1984 championship teams and for earning the 1981 NBA Finals MVP award.
-
C.
Armand
Armand is the given first name of the French poet and Nobel laureate Sully Prudhomme.
-
D.
André
André is a given name of French origin commonly used in various languages as a form of "Andrew."
-
E.
Georges
Georges is a masculine given name of Greek origin, commonly used in French-speaking countries and derived from the name George, meaning "farmer" or "earthworker."
- 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_69a493309df48190a327f748e88049a6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49df7c088819082eb70de4f0f4fbf |
completed | March 1, 2026, 8:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a7a3a260888190b89e90c1da061733 |
completed | March 4, 2026, 3:14 a.m. |
Created at: March 1, 2026, 7:35 p.m.