Triple
T17813690
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jose Laurel Jr. |
E444780
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Laurel |
—
|
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: Laurel | Statement: [Jose Laurel Jr., familyName, Laurel]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laurel Context triple: [Jose Laurel Jr., familyName, Laurel]
-
A.
Laurel
Laurel is a small city in Maryland known for its suburban character and location between Washington, D.C. and Baltimore.
-
B.
Laurel
chosen
Laurel is a feminine given name of English origin, derived from the laurel tree traditionally associated with honor and victory.
-
C.
Laurel
Laurel is a small city in southern Montana, known as a residential and industrial community near Billings and a gateway to outdoor recreation in the Yellowstone region.
-
D.
Laurel
Laurel is a small city in southeastern Mississippi known historically for its timber industry and more recently for its revitalized downtown and role as the setting of the TV show "Home Town."
-
E.
Sharswood
Sharswood is a residential neighborhood in North Philadelphia known for its ongoing redevelopment and proximity to areas like Brewerytown and Girard College.
- 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_69d8b9f0de78819099395b14db75a8a6 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4887d6828819085face29cb03671b |
completed | April 19, 2026, 7:47 a.m. |
Created at: April 10, 2026, 10:14 a.m.