Triple
T28307859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ChLA Phoenix Award |
E713914
|
entity |
| Predicate | timeLapseRequirement |
P134636
|
FINISHED |
| Object | 20 years between publication and award |
—
|
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: 20 years between publication and award | Statement: [ChLA Phoenix Award, timeLapseRequirement, 20 years between publication and award]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeLapseRequirement Context triple: [ChLA Phoenix Award, timeLapseRequirement, 20 years between publication and award]
-
A.
timeSpanOfFootage
Indicates the duration of time covered by a given piece of footage.
-
B.
durationRequirement
chosen
Indicates that a specified action, process, or state must persist for at least a certain length of time to satisfy a condition or rule.
-
C.
recordingPeriodRequirement
Indicates the required duration or time period over which records or data must be kept or maintained.
-
D.
exposureTime
Indicates the duration for which a subject or object is exposed to a particular condition, influence, or medium.
-
E.
supportsVideoLengthRange
Indicates that an entity is compatible with or allows videos whose durations fall within a specified minimum-to-maximum time range.
- 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_69efb5256afc8190b9322d25c3ae6320 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f644dfd8f08190bb46f7fc416c1160 |
completed | May 2, 2026, 6:39 p.m. |
| PD | Predicate disambiguation | batch_69f641e0fde08190bf06a1c5b388aa84 |
completed | May 2, 2026, 6:26 p.m. |
Created at: April 27, 2026, 11:38 p.m.