Triple
T3042441
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Reginald C. Lewis |
E83160
|
entity |
| Predicate | teamHonour |
P44768
|
FINISHED |
| Object | Boston Celtics retired his jersey number 35 |
—
|
LITERAL 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: Boston Celtics retired his jersey number 35 | Statement: [Reginald C. Lewis, teamHonour, Boston Celtics retired his jersey number 35]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: teamHonour Context triple: [Reginald C. Lewis, teamHonour, Boston Celtics retired his jersey number 35]
-
A.
teamHonors
Indicates that a team has received a particular honor, award, or title.
-
B.
clubHonour
Indicates that a club has received or been awarded a particular honour, title, or distinction.
-
C.
teamAchievement
Indicates that a group of individuals collectively accomplished a shared goal or met a performance milestone.
-
D.
honorLevel
Indicates the degree or status of respect, distinction, or recognition accorded to an entity relative to others.
-
E.
hostedTeamAchievement
Indicates that an entity organized or hosted an event or context in which a team achieved a particular accomplishment.
- F. None of above. chosen
Provenance (4 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_69ad8b2298908190a7cb4e9bdbf064d0 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9b5d2a308190b4ce20efcae9b761 |
completed | March 8, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69ad961fc62c819087c4c3a44b00847d |
completed | March 8, 2026, 3:30 p.m. |
| PDg | Predicate description generation | batch_69ad97f6af3881909f4547967384114c |
completed | March 8, 2026, 3:38 p.m. |
Created at: March 8, 2026, 3:01 p.m.