Triple
T8037359
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leonard Franklin Slye |
E187139
|
entity |
| Predicate | hasPet |
P8711
|
FINISHED |
| Object | Trigger |
E57934
|
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: Trigger | Statement: [Leonard Franklin Slye, hasPet, Trigger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trigger Context triple: [Leonard Franklin Slye, hasPet, Trigger]
-
A.
Trigger
chosen
Trigger was the famous golden palomino horse best known as Roy Rogers’ iconic movie and television mount in mid-20th-century Westerns.
-
B.
Trigger
Trigger is a Canadian drama film featuring Molly Parker in a leading role.
-
C.
The Trigger
The Trigger is a science fiction novel by Michael P. Kube-McDowell (from a story by Arthur C. Clarke) that explores the social and political consequences of a technology capable of detonating or neutralizing explosives at a distance.
-
D.
Trace
Trace is a large-scale installation by Chinese artist Ai Weiwei composed of thousands of LEGO portraits depicting political prisoners and activists from around the world.
-
E.
Trieb
Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
- 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_69ca82ae2d1081909dbfee42b41db419 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3f188e1c8190b92760c91d31f2df |
completed | March 31, 2026, 3:27 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56fa97ac8190a0bd646d9ec345e4 |
completed | March 31, 2026, 11:21 p.m. |
Created at: March 30, 2026, 5:23 p.m.