Triple
T1601445
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Team LeBron |
E34400
|
entity |
| Predicate | replacementPlayerFor |
P7546
|
FINISHED |
| Object | Devin Booker – Damian Lillard (injury) |
—
|
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: Devin Booker – Damian Lillard (injury) | Statement: [Team LeBron, replacementPlayerFor, Devin Booker – Damian Lillard (injury)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replacementPlayerFor Context triple: [Team LeBron, replacementPlayerFor, Devin Booker – Damian Lillard (injury)]
-
A.
replacedPlayer
chosen
Indicates that one player has been substituted out of play and replaced by another player.
-
B.
replacementMember
Indicates that one entity serves as a substitute or successor taking over the role, position, or function previously held by another entity.
-
C.
placedBy
Indicates that one entity was positioned, set, or put in a location or context by another entity.
-
D.
replacementName
Indicates that one entity serves as a substitute or successor name for another entity, effectively replacing the original designation.
-
E.
seeksToReplace
Indicates an intention or effort by one entity to take over the role, function, or position currently held by another entity.
- F. None of above.
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_69a885fea6a481909fe83ba6441f1774 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a95b02cd448190be8e3db9a5a7bac0 |
completed | March 5, 2026, 10:29 a.m. |
| PD | Predicate disambiguation | batch_69a907c1cad08190b9728dd557f39aa0 |
completed | March 5, 2026, 4:34 a.m. |
Created at: March 4, 2026, 7:28 p.m.