Triple
T16686784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lainie Kazan |
E405481
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | The Crew |
E1050267
|
NE 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: The Crew | Statement: [Lainie Kazan, notableWork, The Crew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Crew Context triple: [Lainie Kazan, notableWork, The Crew]
-
A.
The Crew
The Crew is the popular nickname for the Columbus Crew, a Major League Soccer club based in Columbus, Ohio.
-
B.
The Crew
The Crew is a Marvel Comics superhero team, often featuring Black heroes like Black Panther and allies who confront social injustice and street-level threats.
-
C.
The Crew
chosen
The Crew is a 2000 American crime-comedy film about a group of retired mobsters who get pulled back into underworld antics in Miami.
-
D.
The Crew franchise
The Crew franchise is an open-world racing video game series known for its large-scale, persistent online environments and coast-to-coast driving across detailed recreations of real-world locations.
-
E.
Save The Crew
Save The Crew was a grassroots supporter-led movement that successfully campaigned to keep Major League Soccer’s Columbus Crew from relocating and helped secure the club’s long-term future in the city.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d8838c28748190b3f5967c743940ab |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e37ea63b7081908a055036172f9683 |
completed | April 18, 2026, 12:52 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a008a43f6a08190913ca123a2377f95 |
completed | May 10, 2026, 1:38 p.m. |
Created at: April 10, 2026, 5:19 a.m.