Triple
T14121592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | John Rzeznik |
E339917
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Iris |
E318063
|
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: Iris | Statement: [John Rzeznik, notableWork, Iris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iris Context triple: [John Rzeznik, notableWork, Iris]
-
A.
Iris
Iris is the underage prostitute whom Travis Bickle becomes obsessed with rescuing in Martin Scorsese’s film "Taxi Driver."
-
B.
Iris
Iris is a recurring character on the satirical sketch comedy series "Portlandia," known for embodying the show's quirky, offbeat humor.
-
C.
Iris
chosen
"Iris" is a hit power ballad by the Goo Goo Dolls, best known for its prominent feature on the soundtrack of the film "City of Angels."
-
D.
Iris
Iris is a large and diverse genus of flowering plants known for its showy, often multicolored blooms and sword-shaped leaves, widely cultivated as ornamentals in gardens worldwide.
-
E.
Iris
Iris is an Italian verismo opera by Pietro Mascagni, first performed in 1898 and noted for its exotic Japanese setting and lush orchestration.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fcdf07feb48190b7519204b4f789b4 |
completed | May 7, 2026, 6:50 p.m. |
Created at: April 9, 2026, 10:22 p.m.