Triple
T3321422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Passage to India |
E69802
|
entity |
| Predicate | baftaAwardWon |
P30075
|
FINISHED |
| Object | Best Film |
—
|
LITERAL 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: Best Film | Statement: [A Passage to India, baftaAwardWon, Best Film]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: baftaAwardWon Context triple: [A Passage to India, baftaAwardWon, Best Film]
-
A.
baftaAward
chosen
Indicates that an entity has received or been honored with a BAFTA (British Academy of Film and Television Arts) award.
-
B.
tonyAwardsWonFor
Indicates the specific Tony Award-winning work or role for which an entity received a Tony Award.
-
C.
emmyAwardFor
Indicates that an entity has received or is associated with a specific Emmy Award for a particular work or achievement.
-
D.
awardReceivedByCastMember
Indicates that a specific award was received by a member of a production’s cast.
-
E.
goldenGlobeAwardFor
Indicates that an entity has received a Golden Globe Award for a specified work, role, or achievement.
- F. None of above.
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_69ad85a1829881908942c14075644d0d |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb13b85208190b13aba355d5dafcf |
completed | March 8, 2026, 5:26 p.m. |
| PD | Predicate disambiguation | batch_69ada42a19348190a3862ce02451f4aa |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:11 p.m.