Triple
T16930987
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lucy Shepherd |
E410705
|
entity |
| Predicate | appearsIn |
P795
|
FINISHED |
| Object | The American President |
E90650
|
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: The American President | Statement: [Lucy Shepherd, appearsIn, The American President]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The American President Context triple: [Lucy Shepherd, appearsIn, The American President]
-
A.
The American President
chosen
The American President is a 1995 romantic comedy-drama film directed by Rob Reiner that follows a widowed U.S. president who falls in love with a lobbyist while navigating the political pressures of the White House.
-
B.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Chamber of Deputies.
-
C.
Mr. President
Mr. President is the formal style of address used for the head of state of Algeria.
-
D.
Mr. President
"Mr. President" is the formal style of address used for the presiding officer of the Massachusetts Senate.
-
E.
Mr. President
"Mr. President" is the formal style of address used for the head of state of the Russian Federation.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf25a6dc8190a2b9d9c4d2adc5fd |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00cfdeb7a88190aac21a8645607dc8 |
completed | May 10, 2026, 6:35 p.m. |
Created at: April 10, 2026, 5:30 a.m.