Triple
T22757215
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvin Booker |
E562878
|
entity |
| Predicate | Devin Booker |
P149617
|
FINISHED |
| Object | is son of |
—
|
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: is son of | Statement: [Melvin Booker, Devin Booker, is son of]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: Devin Booker Context triple: [Melvin Booker, Devin Booker, is son of]
-
A.
Cole Anthony
Indicates a relationship or action involving the entity named "Cole Anthony," such as participation in or association with events, roles, or interactions.
-
B.
Michael Bradley
Indicates a relationship or action involving an entity named Michael Bradley, though the specific nature of the relationship or action is not defined by the predicate alone.
-
C.
Adam Morrison_position
Indicates the playing position or role that Adam Morrison occupies in his sport or team.
-
D.
shootingGuard
Indicates that an entity plays the role or performs the function of a shooting guard in a basketball context.
-
E.
Eric Bakhtiari
Indicates a relationship or action involving the entity named "Eric Bakhtiari," such as participation, association, or attribution connected to him.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a798ae08190b9810bf241613198 |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
| PDg | Predicate description generation | batch_69eeeb5681f88190821129ced752f190 |
completed | April 27, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:25 p.m.