Triple
T16911153
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | J. L. Wilkinson |
E410196
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | J. |
E1008416
|
NE 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: J. | Statement: [J. L. Wilkinson, givenName, J.]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: J. Context triple: [J. L. Wilkinson, givenName, J.]
-
A.
J.
J. is the middle initial of Patrick J. Hartnett, representing his middle name in formal usage.
-
B.
J.
J. is the middle initial of John J. Pershing, the prominent American general who led the American Expeditionary Forces in World War I.
-
C.
J.
chosen
J. is the initial-based given name of J. L. Chestnut, a prominent American civil rights attorney.
-
D.
J
J is one of the passenger concourses at Miami International Airport, serving as a terminal area with gates, amenities, and airline operations for departing and arriving flights.
-
E.
J
J is the SI unit symbol for the joule, the standard measure of energy, work, or heat.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d886c7b1e481908c3766dfa8c13458 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3ca3ca0c481909ff361ccf4a922e3 |
completed | April 18, 2026, 6:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00c7bb4ac481909318d3d61a2d10e1 |
completed | May 10, 2026, 6 p.m. |
Created at: April 10, 2026, 5:30 a.m.