Triple
T13516002
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | An Angel at My Table |
E322760
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Iris Churn
Iris Churn is an actress best known for her role in the acclaimed New Zealand biographical film "An Angel at My Table."
|
E1045943
|
NE FINISHED |
How this triple was built (4 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 Churn | Statement: [An Angel at My Table, stars, Iris Churn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iris Churn Context triple: [An Angel at My Table, stars, Iris Churn]
-
A.
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.
-
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
Iris is a recurring character on the satirical sketch comedy series "Portlandia," known for embodying the show's quirky, offbeat humor.
-
D.
Iris
Iris is the underage prostitute whom Travis Bickle becomes obsessed with rescuing in Martin Scorsese’s film "Taxi Driver."
-
E.
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.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Iris Churn Triple: [An Angel at My Table, stars, Iris Churn]
Generated description
Iris Churn is an actress best known for her role in the acclaimed New Zealand biographical film "An Angel at My Table."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iris Churn Target entity description: Iris Churn is an actress best known for her role in the acclaimed New Zealand biographical film "An Angel at My Table."
-
A.
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.
-
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
Iris is an Italian verismo opera by Pietro Mascagni, first performed in 1898 and noted for its exotic Japanese setting and lush orchestration.
-
D.
Iris
Iris is the underage prostitute whom Travis Bickle becomes obsessed with rescuing in Martin Scorsese’s film "Taxi Driver."
-
E.
Iris
Iris is a recurring character on the satirical sketch comedy series "Portlandia," known for embodying the show's quirky, offbeat humor.
- F. None of above. chosen
Provenance (5 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_69d80766a21881909f21a1b7421d3b8a |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafa0ed508190b2855171b1945e84 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75494642881909f33962afe26f427 |
completed | May 3, 2026, 1:58 p.m. |
| NEDg | Description generation | batch_69f758b29cd4819093cecff5cfefc98f |
completed | May 3, 2026, 2:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7593d74cc819099c5d39ae09c3f70 |
completed | May 3, 2026, 2:18 p.m. |
Created at: April 9, 2026, 9:44 p.m.