Triple
T33906375
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linda Cardellini as Lindsay Weir |
E869191
|
entity |
| Predicate | timeOfOriginalBroadcast |
P6109
|
FINISHED |
| Object | 1999–2000 |
—
|
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: 1999–2000 | Statement: [Linda Cardellini as Lindsay Weir, timeOfOriginalBroadcast, 1999–2000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfOriginalBroadcast Context triple: [Linda Cardellini as Lindsay Weir, timeOfOriginalBroadcast, 1999–2000]
-
A.
originallyAiredOnDayPart
Indicates the specific part of the day (e.g., morning, afternoon, prime time) during which something was first broadcast or aired.
-
B.
originallyRecordedAt
Indicates that an audio or video work was first captured or produced at a specific location or venue.
-
C.
originallyAiredInTimeSlot
Indicates that an episode or program was first broadcast during a specific scheduled time period on a channel or platform.
-
D.
originallyAiredOn
chosen
Indicates the date or time when a media work (such as a TV episode, radio show, or broadcast) was first publicly aired.
-
E.
originallyAiredIn
Indicates the country, region, or network where a show, episode, or broadcast was first originally aired.
- 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_69f34997703c8190866b1d404bce531f |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd485f57dc8190820365396d041991 |
completed | May 8, 2026, 2:20 a.m. |
| PD | Predicate disambiguation | batch_69fd47d35da081908bec8901018d186c |
completed | May 8, 2026, 2:17 a.m. |
Created at: May 1, 2026, 1:48 a.m.