Triple
T19003046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andre Joubert |
E465003
|
entity |
| Predicate | hasNotableTeammate |
P2649
|
FINISHED |
| Object | Mark Andrews |
—
|
NE NERFINISHED |
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: Mark Andrews | Statement: [Andre Joubert, hasNotableTeammate, Mark Andrews]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mark Andrews Context triple: [Andre Joubert, hasNotableTeammate, Mark Andrews]
-
A.
Mark Andrews
Mark Andrews is an American filmmaker best known for co-directing Pixar’s Academy Award–winning animated feature "Brave."
-
B.
Mark Andrews
Mark Andrews is a songwriter best known for co-writing the DMX track "What These Bitches Want."
-
C.
Mark Andrews
chosen
Mark Andrews is an American football tight end in the NFL, best known for his Pro Bowl performances with the Baltimore Ravens.
-
D.
Jerome Tang
Jerome Tang is an American college basketball coach best known for revitalizing the Kansas State Wildcats men's basketball program after a long tenure as an assistant at Baylor.
-
E.
Earl Thomas
Earl Thomas is a former NFL free safety best known as a cornerstone of the Seattle Seahawks' "Legion of Boom" defense and a key contributor to their Super Bowl XLVIII championship.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd01a56c81909694a128c66b21d7 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d6a252588190a40398b1879fb096 |
completed | April 20, 2026, 7:32 a.m. |
Created at: April 10, 2026, 12:01 p.m.