Triple
T15039031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uriah Heep |
E378551
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Uriah |
E1077951
|
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: Uriah | Statement: [Uriah Heep, givenName, Uriah]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Uriah Context triple: [Uriah Heep, givenName, Uriah]
-
A.
Uriah
chosen
Uriah is a biblical figure mentioned in the Hebrew Bible, known as the son of Shemaiah.
-
B.
Uriah the Hittite
Uriah the Hittite is a biblical figure and loyal soldier in King David’s army, best known for being betrayed and killed after David’s adultery with his wife Bathsheba.
-
C.
Uriah Hubbard
Uriah Hubbard is an individual notable enough to be recognized as a prominent bearer of the surname Hubbard.
-
D.
Uriah Crocker
Uriah Crocker was a 19th-century American businessman and philanthropist from the prominent Crocker family, known for his contributions to civic and charitable causes.
-
E.
Uriah Shelton
Uriah Shelton is an American actor known for his roles in television series such as "Looking for Alaska," "Girl Meets World," and "13 Reasons Why."
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded82cf3848190b0b2b6c9e65bc70b |
completed | April 15, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9de1c3a48190a9b3959a95627175 |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.