Triple
T3067233
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judi Dench |
E62131
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Iris |
E110006
|
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: [Judi Dench, notableWork, Iris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iris Context triple: [Judi Dench, notableWork, Iris]
-
A.
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."
-
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 2001 British biographical drama film about the life and relationships of novelist and philosopher Iris Murdoch.
-
D.
Irises
Irises is a famous 1889 oil painting by Vincent van Gogh depicting a vibrant cluster of blooming irises, celebrated for its expressive color and dynamic composition.
-
E.
Iris Burn
Iris Burn is a river and valley in Fiordland, New Zealand, known for its scenic waterfalls and as a key section of the Kepler Track near Lake Te Anau.
- 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_69ad85793e5c8190a358049bc4a98d8c |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada0fea06881909e5251eea26599ac |
completed | March 8, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1ef16cf2881908265dfe8a1e3424d |
completed | March 11, 2026, 10:39 p.m. |
Created at: March 8, 2026, 3:02 p.m.