Triple
T1498041
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jude Law |
E29731
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jude |
E127769
|
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: Jude | Statement: [Jude Law, givenName, Jude]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jude Context triple: [Jude Law, givenName, Jude]
-
A.
Jude
chosen
Jude is a Christian apostle and traditionally regarded as the author of the New Testament Epistle of Jude.
-
B.
Dei Filius
Dei Filius is a dogmatic constitution of the Catholic Church from the First Vatican Council that defines key teachings on faith, reason, and divine revelation.
-
C.
Matthias
Matthias is the disciple chosen to join the Twelve Apostles after the betrayal and death of Judas Iscariot.
-
D.
Jude Greene
Jude Greene is a central character in Toni Morrison’s novel "Sula," known for his complex relationship with the protagonist and his struggle with identity, love, and betrayal in the Black community of the Bottom.
-
E.
N Judah
N Judah is a heavily used San Francisco Muni light rail line that runs from downtown through neighborhoods like the Inner and Outer Sunset to Ocean Beach.
- 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_69a498dba1d8819093b46a3a8d2485f1 |
completed | March 1, 2026, 7:51 p.m. |
| NER | Named-entity recognition | batch_69a4c6ef5ce88190a6b520525a6d42a3 |
completed | March 1, 2026, 11:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad1caf8b288190b428cf903db2c107 |
completed | March 8, 2026, 6:52 a.m. |
Created at: March 1, 2026, 8:12 p.m.