Triple
T21687159
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anna Faris |
E535258
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object | Ben Indra |
—
|
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: Ben Indra | Statement: [Anna Faris, spouse, Ben Indra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ben Indra Context triple: [Anna Faris, spouse, Ben Indra]
-
A.
Ben Indra
chosen
Ben Indra is an American actor known for his supporting roles in film and television and for his former marriage to actress Anna Faris.
-
B.
Ashok Dinda
Ashok Dinda is an Indian fast bowler who played domestic cricket for Bengal and represented India in both One Day Internationals and Twenty20 Internationals.
-
C.
Madhan Karky
Madhan Karky is an Indian lyricist, dialogue writer, and technologist known for his innovative work in Tamil cinema and contributions to major films like Baahubali: The Beginning.
-
D.
Mahendri
Mahendri is an epithet of the Hindu goddess Indrani, highlighting her role as the consort and queen of the god Indra.
-
E.
Yadnya Kasada
Yadnya Kasada is a traditional Tenggerese Hindu ritual in which offerings are cast into the crater of Mount Bromo in East Java, Indonesia, to honor ancestral spirits and deities.
- 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_69e0c469b6ec8190aee4cadd1527db91 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef96cc31b8819086ca980521f94501 |
completed | April 27, 2026, 5:03 p.m. |
Created at: April 16, 2026, 6:44 p.m.