Triple
T3659910
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Earthshock |
E77622
|
entity |
| Predicate | lastBroadcastDate |
P50205
|
FINISHED |
| Object | 1982-03-16 |
—
|
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: 1982-03-16 | Statement: [Earthshock, lastBroadcastDate, 1982-03-16]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lastBroadcastDate Context triple: [Earthshock, lastBroadcastDate, 1982-03-16]
-
A.
lastKnownSpeakersDate
Indicates the date on which the last known speakers of a language or dialect were recorded or documented.
-
B.
lastLaunchDate
Indicates the date on which the most recent launch event associated with an entity occurred.
-
C.
wasBroadcastOn
Indicates that a media item (such as a program, episode, or event) was transmitted or aired via a particular broadcast channel, station, or network.
-
D.
lastAppearance
Indicates the most recent time or instance in which an entity appears or is present within a given context or sequence.
-
E.
lastSessionDate
Indicates the date on which the most recent session involving the entity took place.
- 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_69ad85dfc4dc8190a441864202ab2a7a |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc3d5e5f881909c7c105827d41071 |
completed | March 8, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69adb847e9d881909dad2ffd0f3b6c15 |
completed | March 8, 2026, 5:56 p.m. |
| PDg | Predicate description generation | batch_69adb97cdb788190a5ce96b21bd157ab |
completed | March 8, 2026, 6:01 p.m. |
Created at: March 8, 2026, 3:25 p.m.