Triple
T4864321
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harvard Film Archive |
E108730
|
entity |
| Predicate | hasScreeningVenue |
P51034
|
FINISHED |
| Object | cinema theater at Harvard University |
—
|
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: cinema theater at Harvard University | Statement: [Harvard Film Archive, hasScreeningVenue, cinema theater at Harvard University]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasScreeningVenue Context triple: [Harvard Film Archive, hasScreeningVenue, cinema theater at Harvard University]
-
A.
screeningVenue
chosen
Indicates the place or location where a screening (such as a film or event showing) takes place.
-
B.
hasEntertainmentVenue
Indicates that an entity possesses, contains, or is associated with an entertainment venue as part of its facilities or offerings.
-
C.
hasAttachedVenue
Indicates that one entity has another entity linked or associated with it as a venue.
-
D.
hasTicketHall
Indicates that a place or facility includes or is equipped with a designated ticket hall area for purchasing or validating tickets.
-
E.
hasVenueContext
Indicates that an entity is associated with a particular venue or setting that provides contextual information about where it occurs or is situated.
- 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_69bd440b965081908b0557721cae6338 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6d7718e48190af4c0d1abfa87795 |
completed | March 20, 2026, 3:53 p.m. |
| PD | Predicate disambiguation | batch_69bd6c27334481909ba8ac80854f7d8e |
completed | March 20, 2026, 3:47 p.m. |
Created at: March 20, 2026, 1:26 p.m.