Triple
T13902676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rudge |
E334264
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | Posner |
E703411
|
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: Posner | Statement: [Rudge, associatedWith, Posner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Posner Context triple: [Rudge, associatedWith, Posner]
-
A.
Posner
chosen
Posner is a surname most prominently associated with American singer-songwriter and record producer Mike Posner.
-
B.
Judge Richard Posner
Judge Richard Posner is a prominent American jurist, legal scholar, and former federal appellate judge known for his influential work in law and economics and his long tenure on the U.S. Court of Appeals for the Seventh Circuit.
-
C.
Kenneth Posner
Kenneth Posner is a prominent American theatrical lighting designer known for his work on numerous Broadway productions.
-
D.
Palmore
Palmore is a surname that functions as a variant form of the more common family name Palmer.
-
E.
Theodore Twombly
Theodore Twombly is the introspective, emotionally sensitive protagonist of the film "Her," who develops a complex romantic relationship with an advanced operating system.
- 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_69d81c5eaa9c819083b1ff8689179565 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de25d9c7a48190ad8fb0ca676f4f7b |
completed | April 14, 2026, 11:32 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c722e72081909090b2d64000ebd9 |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:16 p.m.