Triple
T10005082
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jared Followill |
E198220
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Jared |
E541704
|
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: Jared | Statement: [Jared Followill, givenName, Jared]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jared Context triple: [Jared Followill, givenName, Jared]
-
A.
Jared
Jared is the given name of Jared Diamond, an American geographer, historian, and author best known for his Pulitzer Prize–winning book "Guns, Germs, and Steel."
-
B.
Jared
Jared is a village located in Pakistan’s scenic Kaghan Valley, known for its mountainous landscapes and tourism.
-
C.
Jared
chosen
Jared is a biblical patriarch in the Book of Genesis, known as a pre-Flood ancestor in the genealogies leading to Noah.
-
D.
Jared Spurgeon
Jared Spurgeon is a Canadian professional ice hockey defenseman in the NHL known for his smart two-way play and leadership with the Minnesota Wild.
-
E.
Jared Rushton
Jared Rushton is an American former child actor best known for his roles in 1980s films such as "Big" and "Honey, I Shrunk the Kids."
- 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_69ca830fcca48190bbbd9b20c233835f |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cdcd157d9c8190b863e4264f9a48b1 |
completed | April 2, 2026, 1:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d354d7202c81908d42107c346900dc |
completed | April 6, 2026, 6:38 a.m. |
Created at: March 30, 2026, 8:51 p.m.