Triple
T32687324
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 75th Golden Globe Awards |
E835759
|
entity |
| Predicate | networkCoverageStartTime |
P178852
|
FINISHED |
| Object | 5:00 p.m. PST |
—
|
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: 5:00 p.m. PST | Statement: [75th Golden Globe Awards, networkCoverageStartTime, 5:00 p.m. PST]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: networkCoverageStartTime Context triple: [75th Golden Globe Awards, networkCoverageStartTime, 5:00 p.m. PST]
-
A.
networkCoverage
Indicates the extent to which a network’s signal or service is available across a given area or to specific entities.
-
B.
dataCoverage
Indicates the extent or proportion of relevant data that is included, captured, or represented within a given dataset or system.
-
C.
networkTypeFounded
Indicates that a particular type of network was established or created at a specific time or by a specific agent.
-
D.
partOfNetworkSince
Indicates that an entity has been a member or component of a particular network starting from a specified point in time.
-
E.
timePeriodCoveredTo
Indicates the span or duration of time that is encompassed, addressed, or relevant to a given subject or 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_69f3493211388190993801216afbc2a7 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f71422adac8190a5ceb32dcf820833 |
completed | May 3, 2026, 9:23 a.m. |
| PD | Predicate disambiguation | batch_69f712764d2c819081b64b27e5de4a13 |
completed | May 3, 2026, 9:16 a.m. |
| PDg | Predicate description generation | batch_69f71421e8d08190807ccfb15d0f0ddb |
completed | May 3, 2026, 9:23 a.m. |
Created at: May 1, 2026, 1:09 a.m.