Triple
T566561
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Film Editing |
E13565
|
entity |
| Predicate | firstCeremony |
P16454
|
FINISHED |
| Object | 7th Academy Awards |
—
|
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: 7th Academy Awards | Statement: [Academy Award for Best Film Editing, firstCeremony, 7th Academy Awards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstCeremony Context triple: [Academy Award for Best Film Editing, firstCeremony, 7th Academy Awards]
-
A.
firstAwarded
Indicates the time or occasion when an award, honor, or recognition was given for the very first time.
-
B.
firstCelebratedInYear
Indicates the year in which something (such as an event, holiday, or celebration) was first observed or celebrated.
-
C.
firstPerformance
Indicates that an entity marks the initial or debut performance of another entity, such as a work, artist, or production.
-
D.
firstEditionHeldIn
Indicates the location where the first edition or initial occurrence of an event was held.
-
E.
firstCoronationHeld
Indicates that the referenced coronation event is the earliest (first in time) coronation associated with the given entity.
- F. None of above. chosen
Provenance (4 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_69a4933edcf08190b35ecfd6014caee6 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49b01aca48190944408d066519149 |
completed | March 1, 2026, 8:01 p.m. |
| PD | Predicate disambiguation | batch_69a494c183b081909304944aa3d0fe8f |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a4985952a481908b918350ececf484 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.