Triple
T17747971
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Epitaph One |
E443035
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object | Iris |
—
|
NE NERFINISHED |
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: [Epitaph One, featuresCharacter, Iris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iris Context triple: [Epitaph One, featuresCharacter, Iris]
-
A.
Iris
Iris is a recurring character on the satirical sketch comedy series "Portlandia," known for embodying the show's quirky, offbeat humor.
-
B.
Iris
"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."
-
C.
Iris
chosen
Iris is the underage prostitute whom Travis Bickle becomes obsessed with rescuing in Martin Scorsese’s film "Taxi Driver."
-
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 the Greek goddess of the rainbow and a divine messenger of the gods, often depicted as a link between heaven and earth.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47ad46a50819089c87f74efe3c7ca |
completed | April 19, 2026, 6:48 a.m. |
Created at: April 10, 2026, 10:10 a.m.