Triple
T8959278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ian Collie |
E213556
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Rake |
E255991
|
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: Rake | Statement: [Ian Collie, notableWork, Rake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rake Context triple: [Ian Collie, notableWork, Rake]
-
A.
Rake
Rake is a Ruby-based build automation tool similar to Make, used to define and run tasks via Ruby code.
-
B.
Rake
chosen
Rake is an Australian television legal comedy-drama series centered on a brilliant but self-destructive criminal defense barrister.
-
C.
Rubi
Rubi is a popular Arabic-language television drama series that helped boost Egyptian actor Amr Waked’s regional fame.
-
D.
Yank
Yank is a central character in John Patrick's wartime drama "The Hasty Heart," portrayed as a tough, emotionally guarded American soldier whose interactions with fellow patients reveal his vulnerability and capacity for friendship.
-
E.
Rags
Rags is a lesser-known Broadway musical by composer Stephen Schwartz that explores the struggles and hopes of Jewish immigrants in early 20th-century America.
- 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_69ca8399ad2081909f8fa41d4314c215 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc672b12b48190a9d964f79b96d237 |
completed | April 1, 2026, 12:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfc946a2f88190b7cd0fca67d31dfd |
completed | April 3, 2026, 2:05 p.m. |
Created at: March 30, 2026, 7 p.m.