Triple
T9279728
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jenna Fischer |
E223036
|
entity |
| Predicate | appearedIn |
P795
|
FINISHED |
| Object | Hall Pass |
E356152
|
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: Hall Pass | Statement: [Jenna Fischer, appearedIn, Hall Pass]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hall Pass Context triple: [Jenna Fischer, appearedIn, Hall Pass]
-
A.
Hall Pass
chosen
Hall Pass is a 2011 American comedy film about two married men granted a week off from marriage to pursue other women, directed by the Farrelly brothers.
-
B.
Boardwalk Hall
Boardwalk Hall is a historic indoor arena and entertainment venue in Atlantic City, New Jersey, known for hosting major concerts, sporting events, and the Miss America pageant.
-
C.
Our Song
"Our Song" is a track by the English progressive rock band Yes, featured on their 1983 album "90125."
-
D.
Bye and Bye
"Bye and Bye" is a country song recorded by the American duo Love and Theft.
-
E.
Standing in the Shadows of Love
"Standing in the Shadows of Love" is a classic 1966 Motown soul song by the Four Tops, renowned for its dramatic vocals and driving, orchestral production.
- 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd07cc79508190954defbef0d82a64 |
completed | April 1, 2026, 11:55 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d09c4f254c819083301449c3e4b11d |
completed | April 4, 2026, 5:06 a.m. |
Created at: March 30, 2026, 7:34 p.m.