Triple
T22757189
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Melvin Booker |
E562878
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Booker |
—
|
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: Booker | Statement: [Melvin Booker, familyName, Booker]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Booker Context triple: [Melvin Booker, familyName, Booker]
-
A.
Booker
Booker is a central character in Toni Morrison's novel "God Help the Child," serving as Bride's emotionally scarred lover whose past trauma profoundly shapes their relationship.
-
B.
Booker
Booker is a character associated with Rain, likely appearing in the same narrative or fictional universe.
-
C.
Booker
chosen
Booker is a surname most prominently associated with Cory Booker, a U.S. Senator from New Jersey and former mayor of Newark.
-
D.
Booker
Booker is a weary, immortal warrior and member of the covert team in "The Old Guard," known for his tragic backstory and conflicted loyalty.
-
E.
Booker
Booker is a major UK-based cash-and-carry and wholesale grocery supplier serving retailers, caterers, and small businesses.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a798ae08190b9810bf241613198 |
completed | April 29, 2026, 3:26 a.m. |
Created at: April 17, 2026, 3:25 p.m.