Triple
T23356465
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Jude |
E593064
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Thaddaeus |
—
|
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: Thaddaeus | Statement: [Saint Jude, alsoKnownAs, Thaddaeus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thaddaeus Context triple: [Saint Jude, alsoKnownAs, Thaddaeus]
-
A.
Thaddaeus
chosen
Thaddaeus is a disciple of Jesus traditionally counted among the Twelve Apostles in Christian tradition, often identified with Jude the Apostle.
-
B.
Thaddeus
Thaddeus is the stoic, iron-fisted blacksmith and central martial arts hero in the action film "The Man with the Iron Fists 2."
-
C.
Thaddeus
Thaddeus is the full given name of the fictional character Tad Martin from the soap opera "All My Children."
-
D.
Thaddeus Valentine
Thaddeus Valentine is a powerful and morally ambiguous London historian and engineer who serves as the primary antagonist in the 2018 post-apocalyptic film "Mortal Engines."
-
E.
Thaddaeus Hagecius
Thaddaeus Hagecius was a 16th-century Bohemian astronomer and physician known for his detailed observations of celestial phenomena and service at the court of Emperor Rudolf II.
- 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_69e25d24d2a4819092e6ede74c2a918d |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f19a176b548190bf5a08bb2585344d |
completed | April 29, 2026, 5:41 a.m. |
Created at: April 17, 2026, 5:28 p.m.