Triple
T21990684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lou Taylor Pucci |
E543077
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Carriers |
—
|
NE NERFINISHED |
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: Carriers | Statement: [Lou Taylor Pucci, notableWork, Carriers]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carriers Context triple: [Lou Taylor Pucci, notableWork, Carriers]
-
A.
Carriers
chosen
Carriers is a 2009 post-apocalyptic horror film about a group of friends struggling to survive a deadly viral pandemic.
-
B.
Carrier
Carrier are an Indigenous First Nations people of central interior British Columbia, Canada, with their own distinct Dakelh language and cultural traditions.
-
C.
Carrier
Carrier is a leading global brand specializing in heating, ventilation, air conditioning (HVAC), and refrigeration solutions.
-
D.
Carrier
Carrier is a surname of English and French origin borne by various notable individuals across history.
-
E.
Flightline
Flightline is an American Thoroughbred racehorse celebrated for his dominant, undefeated career and status as one of the highest-rated racehorses in modern history.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c48136b081908831fa907cc02e18 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f1270d7cbc819086eea86be04a2ec0 |
completed | April 28, 2026, 9:30 p.m. |
Created at: April 16, 2026, 8:05 p.m.