Triple
T2547281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Trigger, Jr. |
E57933
|
entity |
| Predicate | hasRelative |
P367
|
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: [Trigger, Jr., hasRelative, Trigger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trigger Context triple: [Trigger, Jr., hasRelative, 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.
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.
-
C.
Trieb
Trieb is a district or locality within the town of Lichtenfels in the Upper Franconia region of Bavaria, Germany.
-
D.
Hook
Hook is a village in Hampshire, England, known as a commuter settlement with good transport links to nearby towns and London.
-
E.
Hook
"Hook" is a 1991 fantasy adventure film directed by Steven Spielberg that reimagines an adult Peter Pan returning to Neverland to rescue his children from Captain Hook.
- 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_69ab4a5212d88190b989ce129f2ad87f |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e672948190bb7fe9b47535a172 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af839ead648190a8781299da30969b |
completed | March 10, 2026, 2:36 a.m. |
Created at: March 6, 2026, 9:47 p.m.