Triple
T6307213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Justin II |
E141406
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Justin |
E418627
|
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: Justin | Statement: [Justin II, givenName, Justin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Justin Context triple: [Justin II, givenName, Justin]
-
A.
Justin
Justin is a central character in the 1997 science fiction horror film "Event Horizon," serving as one of the crew members who experiences the ship’s disturbing and reality-warping effects.
-
B.
Justin
Justin is the given name of Justin Trudeau, the 23rd prime minister of Canada and leader of the Liberal Party.
-
C.
Justin
Justin is a character in the novel "Falling Man," which explores the aftermath of the September 11 attacks and their impact on personal and collective identity.
-
D.
Justin
Justin is the given name of Brother Justin Crowe, a central character in the television series "Carnivàle."
-
E.
Justin
chosen
Justin is a masculine given name commonly used in English-speaking countries, derived from the Latin name Justinus meaning "just" or "righteous."
- 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_69c008d00efc8190a36c05b4b4a3bf4b |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0647b69f08190bb085f9b700f6453 |
completed | March 22, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6537fc2ac8190a05779363ed2b3eb |
completed | March 27, 2026, 9:53 a.m. |
Created at: March 22, 2026, 4:28 p.m.